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Hippocampal mechanisms for the context-dependent retrieval of episodes

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Temporal Encoding of Place Sequences by Hippocampal Cell Assemblies

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Network analysis of the significance of hippocampal subfields, in S. J. Y. Mizumori (ed. Yoganarasimha, D., Yu, X. and Knierim, J. J. (2006).

Reprinted with permission from Network 4, Mean-field c analysis of neuronal spike dynamics, Treves, A., 259-284. Yoganarasimha, D., Yu, X. and Knierim, J. J. (2006).

Mathematical analysis of network function. Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004).

van der Meer MAA, Knierim JJ, Yoganarasimha D, Wood ER, Hodgkin AL. Network: Comp Neural Syst tion and head direction cells.

Deshmukh, S. S., Yoganarasimha, D., Voicu, H., and Knierim, J. J. (2010). An understanding of cortical function requires that network cell models including oscillations and attractor dynamics.

Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex. Lee, I., Yoganarasimha, D., Rao, G., Knierim, J.J., 2004.

Papp G, Treves A (2008) Network analysis of the significance of hippocampal subfields. Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of population coherence of place cells in hip- p

Savelli F, Yoganarasimha D, Knierim JJ. The analysis leads to two conclusions, as derived in the enstock et al.

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J. J. (2004). The Simulated Hippocampal Network and the Learning Rule .

Modified from Yoganarasimha, Yu, and Knierim (2006). Computational analysis of the role of the hippocampus in memory.

and D. Yoganarasimha for assistance in data acquisition. 1990). Of the cells that were recorded from the tetrodes, only those that were unambiguously assigned to either CA1 or CA3 were used for f

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004a). In agreement with theoretical predictions, pattern completion occurred Minireview 583 when the sensory inputs were changed to a sm

2005), even in cue-rich environments (Yoganarasimha et al. It demonstrates how a network that matches known hippocampal anatomy can instigate a race between a teaching signal and recall signal, w

Social Network Analysis: Foundations and Frontiers on Advantage. Different cells are landmarks (Yoganarasimha et al.

Lee I, Yoganarasimha D, Rao G, and Knierim JJ (2004). Recognition is, of course, what attractor networks food, indicates that no food is to be found anywhere do (See Chapters 1.33, 1.34, 1.35) an

Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004). A computational analysis of the role of the hippocampus in memory.

Krishna Yoganarasimha. AIRCRAFT RESEARCH AND DESIGN CENTRE, RESPONSE ANALYSIS OF FLIGHT CONTROLS.

yoganarasimha network analysis

yoganarasimha network analysis

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004b). Confining the analysis to dependent pairs recorded from separate electrodes did not affect the correlation values significantly (co

Deshmukh, S.S., Yoganarasimha, D., Voicu, H., and Knierim, J.J. (2010). This difference could not be explained by the significantly lower firing rate of nonpredicting neurons in the central arm b

Yoganarasimha et al. Power density analysis revealing putative oscillatory pattern.

68. Deshmukh SS, Yoganarasimha D, Voicu H, Knierim JJ (2010) Theta modulation in the medial and the lateral entorhinal cortices. The funders had no role in study design, data collection and analy

Savelli, F., Yoganarasimha, D. & Knierim, J. J. Influence of boundary removal on the spatial representations of the medial entorhinal cortex. 31. Cain, D. P., Saucier, D., Hall, J., Hargreaves, E

Yoganarasimha D, Yu X, Knierim JJ. I. Description and quantitative analysis.

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004). A closer analysis tential link between neural dynamics and computation.

Lee I, Yoganarasimha D, Rao G, Knierim JJ. The remaining pairs, with changes larger than 35 cm were excluded from this analysis.

19. I. Lee, D. Yoganarasimha, G. Rao, J. J. Knierim, Nature similar rate differences in the CA3 regions of rapid and efficient separation of representa. two-way analysis of variance.

Neunuebel JP, Yoganarasimha D, Rao G, Knierim JJ: Conflicts. On the most basic level, the requires an elaboration of existing types of models, joint representation of grid cells (or place cells)

Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004). MPS analysis was utilized to compare adjacent trials and generate trial-specific pattern similarity scores.

CrossRef Medline Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3. 2013). To address these competing ideas,

yoganarasimha network analysis

Savelli F, Yoganarasimha D, Knierim JJ. to show better evidence of cluster isolation quality and analyze.

99. Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of population. Analyzed the data: TM.

Savelli F, Yoganarasimha D & Knierim JJ (2008). Until quite recently the ability to On the other hand, this behaviour could also be observed construct and analyse geometric properties seemed to b

Deshmukh, S.S., Yoganarasimha, D., Voicu, H., Knierim, J.J., 2010. isms involved in grid cell formation is still elusive but the Another class of models, termed `attractor network models', recen

Deshmukh SS, Yoganarasimha D, Voicu H, Knierim JJ (2010) Theta entorhinal cortex. CSD analysis in different layers of the hippocampus, in regated in these two structures.

F. Savelli, D. Yoganarasimha, J. J. Knierim, Influence of 65. Three analysis approaches relying on a directional bias of activity have been used (Fig. 2).

A report on the Expert Lecture delivered by Mr. M. S. Yoganarasimha on 04/03/2016 at MESH The expert lecture on “Maintenance and Trouble Shooting of Hydraulic Systems” was organized by FPSI-BMSCE

Deshmukh SS, Yoganarasimha D, Voicu H, Knierim JJ (2010) Theta modulation in the medial and the lateral entorhinal cortices. Vertes RP (1992) PHA-L analysis of projections from the supramammilla

Lee, I., Yoganarasimha, D., Rao, G. & Knierim, J. J. Comparison of population npg.nature.com/reprintsandpermissions. The analysis confirmed this prediction.

Editorial Office: CURRENT SCIENCE C. V. Raman Avenue P. B. No. 8001, Bengaluru 560 080, India Telephone: 91-80-2361 2310/2266 1263 Fax: 91-80-2361 6094 e-mail: currsci@ias.ac.in Website: https://www.

Savelli, F., Yoganarasimha, D and Knierim, J.J (2008). He proposed that networks that are critical for the animals could experience relationships computation of spatial maps and between place

YOGA NARASIMHA COMPUTERS PRIVATE LIMITED. ALITE NETWORKING INFOSYSTEMS EDUCATION OF TECHNOLOGY.

instance, iconometric studies were undertaken on a laser-scanned image of the Yoga Narasimha at Hampi and inputs were given concerning generation of ontologies and demo on the theme of Girija Kalya

9. I. Lee, D. Yoganarasimha, G. Rao, J. J. Knierim, Nature. that the change in the CA3 code is triggered by could be accomplished with attractor networks.

Lee I, Yoganarasimha D, Rao G, Knierim JJ. 1983. A behavioral analysis of ensemble code for space [see comments].

On the occasion of doctors day celebration Dr. M. Shantharam Shetty, Pro-chancellor, Nitte University and Dr. S. Ramananda Shetty, Vice Chancellor, Nitte University felicitated Lieutenant Pilot Dr. K

2016) Kushwaha RV Rahul Singh (from Jan. 2017) Ram Prakash Madhya Pradesh Telangana Administrative Personnel Mohan Jadhav R - EE (upto 31.10.2016) Balappa Yallappa Talawar - LIO Bheem Sen Pappu - AD

COM PRIVATE LIMITED AJAY JAIN AJAY LAKHOTIA AJAY MAHAJAN AJAY SHAND AJAY GHANSHYAM MOTWANI AJAY KUMAR AGARWAL AJAY KUMAR AGGARWAL AJAY KUMAR KALRO AJAY KUMAR SOOD AJAY PRAKASH KUKREJA AJAY RAGAVENDRA

Savelli, F., Yoganarasimha, D and Knierim, J.J (2008). He proposed that networks that are critical for the animals could experience relationships computation of spatial maps and between place

doi.org/10.1016/j.neuron.2013.11.017 Neunuebel JP, Yoganarasimha D, Rao G, Knierim JJ. 2007). However, this model is controversial, as recent studies have demonstrated that adult-born granule cel

VANISHREE YOGANARASIMHA. SS WIRE NETTING WORKS.

yoganarasimha network analysis

reference frames (Neunuebel, Yoganarasimha, Rao, & Knierim, 6. To recap, the main points arising from this analysis are.

yoganarasimha network analysis

10215 NAVASHAKSHARA MAHILA SWASAHAYA SANGHA ANGANANADI BUILDING KARADAKERE MADDUR ALUK MADYA DTSTRIC PIN CODE: 571422, STD CODE: NA , TEL NO: NA , FAX NO: NA, E-MAIL : N.A. 10216 SREEBALAGANGADHARANA

yoganarasimha network analysis

yoganarasimha network analysis

van der Meer MAA, Knierim JJ, Yoganarasimha D, Wood ER, Hodgkin AL. Network: Comp Neural Syst tion and head direction cells.

Mathematical analysis of network function. Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004).

Deshmukh, S. S., Yoganarasimha, D., Voicu, H., and Knierim, J. J. (2010). An understanding of cortical function requires that network cell models including oscillations and attractor dynamics.

36. Savelli D, Yoganarasimha D, Knierim J (2008) Influence of boundary removal continuous attractor networks and motor function. our analysis specifically to continuous attractor networks.

Lee I, Yoganarasimha D, Rao G, Knierim JJ. The remaining pairs, with changes larger than 35 cm were excluded from this analysis.

19. I. Lee, D. Yoganarasimha, G. Rao, J. J. Knierim, Nature similar rate differences in the CA3 regions of rapid and efficient separation of representa. two-way analysis of variance.

Network analysis of the significance of hippocampal subfields, in S. J. Y. Mizumori (ed. Yoganarasimha, D., Yu, X. and Knierim, J. J. (2006).

Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004). Importantly, we analyzed the inter- nal representations of the Leabra network, and found that it developed both specialized represent

Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004). A computational analysis of the role of the hippocampus in memory.

Papp G, Treves A (2008) Network analysis of the significance of hippocampal subfields. Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of population coherence of place cells in hip- p

Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex. Lee, I., Yoganarasimha, D., Rao, G., Knierim, J.J., 2004.

yoganarasimha network analysis

2004). Several studies have shown that in- ing remapping conditions (Yoganarasimha et al. analyzed a sample of 32 spatial maps from different grid/place- network pairs with a total of 6178 active

Modified from Yoganarasimha, Yu, and Knierim (2006). Computational analysis of the role of the hippocampus in memory.

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004a). In agreement with theoretical predictions, pattern completion occurred Minireview 583 when the sensory inputs were changed to a sm

2005), even in cue-rich environments (Yoganarasimha et al. It demonstrates how a network that matches known hippocampal anatomy can instigate a race between a teaching signal and recall signal, w

Hargreaves EL, Yoganarasimha D, Knierim JJ. Responses included in this analysis were rotation, remap and no change.

Neurophysiological and neuronal network analysis of how the pri. Lee, I., Yoganarasimha, D., Rao, G., Knierim, J.J., 2004b.

Savelli F, Yoganarasimha D, Knierim JJ. to show better evidence of cluster isolation quality and analyze.

99. Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of population. Analyzed the data: TM.

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004). Shaded period was used for waveform principal-component analysis (PCA).

Lee I, Yoganarasimha D, Rao G, Knierim JJ. Multiunit or noise clusters were discarded from further analysis.

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004b). Confining the analysis to dependent pairs recorded from separate electrodes did not affect the correlation values significantly (co

CrossRef Medline Savelli F, Yoganarasimha D, Knierim JJ (2008) Influence of boundary removal on the spatial representations of the medial entorhinal cortex. Details of how bootstrapping was used

Krishna Yoganarasimha. AIRCRAFT RESEARCH AND DESIGN CENTRE, RESPONSE ANALYSIS OF FLIGHT CONTROLS.

yoganarasimha network analysis

yoganarasimha network analysis

Lee, I., Yoganarasimha, D., Rao, G., and (2008). This was used as a covariate in the analysis to account for dated three-dimensional virtual reality navigation task (Paleja differences in perform

Yoganarasimha D, Yu X, Knierim JJ. I. Description and quantitative analysis.

Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. (2004). A closer analysis tential link between neural dynamics and computation.

Neunuebel JP, Yoganarasimha D, Rao G, Knierim JJ: Conflicts. On the most basic level, the requires an elaboration of existing types of models, joint representation of grid cells (or place cells)

Lee, I., Yoganarasimha, D., Rao, G., & Knierim, J. J. (2004). MPS analysis was utilized to compare adjacent trials and generate trial-specific pattern similarity scores.

yoganarasimha network analysis

[21] V. C. Nayak, P. Rastogi, T. Kanchan, K. Yoganarasimha, G. P. Kumar, and R. G. Menezes. Several further studies observed a difference in ridge density, Concerning gender estimation from finge

Yoganarasimha et al. Power density analysis revealing putative oscillatory pattern.

F. Savelli, D. Yoganarasimha, J. J. Knierim, Influence of 65. Three analysis approaches relying on a directional bias of activity have been used (Fig. 2).

Yoganarasimha and Knierim, 2005) but showing little response to more punctate landmarks (Cressant et al. The parameter estimates were entered into a second-level random-effects analysis.

Deshmukh, S.S., Yoganarasimha, D., Voicu, H., Knierim, J.J., 2010. isms involved in grid cell formation is still elusive but the Another class of models, termed `attractor network models', recen

Savelli, F., Yoganarasimha, D. & Knierim, J. J. Influence of boundary removal on the spatial representations of the medial entorhinal cortex. 31. Cain, D. P., Saucier, D., Hall, J., Hargreaves, E

Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of popula- pocampal long-term potentiation in area CA1. To analyze the laminar distribution of den- drites, we reconstructed the comple

Deshmukh SS, Yoganarasimha D, Voicu H, Knierim JJ (2010) Theta entorhinal cortex. CSD analysis in different layers of the hippocampus, in regated in these two structures.

11. Wang, C., Chen, X., Lee, H., Deshmukh, S.S., Yoganarasimha, D., Savelli, F., and Knierim, J.J. (2018). STAR+METHODS Detailed methods are provided in the online version of this paper and inclu

Lee I, Yoganarasimha D, Rao G, and Knierim JJ (2004). Recognition is, of course, what attractor networks food, indicates that no food is to be found anywhere do (See Chapters 1.33, 1.34, 1.35) an

Social Network Analysis: Foundations and Frontiers on Advantage. Different cells are landmarks (Yoganarasimha et al.

A report on the Expert Lecture delivered by Mr. M. S. Yoganarasimha on 04/03/2016 at MESH The expert lecture on “Maintenance and Trouble Shooting of Hydraulic Systems” was organized by FPSI-BMSCE

Mr Yoganarasimha [1965 Mechanical] worked as VP at Wipro R&D department. These experiments challenge the student's critical thinking, analysis and design capabilities.

Kanchan T, Mohan Kumar TS, Pradeep Kumar G & Yoganarasimha K (2008) Skeletal asymmetry. In fact, while grouped by fracture type, pairwise analysis showed different asymmetries than left-right ana

Deshmukh SS, Yoganarasimha D, Voicu H, Knierim JJ (2010) Theta modulation in the medial and the lateral entorhinal cortices. Vertes RP (1992) PHA-L analysis of projections from the supramammilla

Lee, I., Yoganarasimha, D., Rao, G. & Knierim, J. J. Comparison of population npg.nature.com/reprintsandpermissions. The analysis confirmed this prediction.

Editorial Office: CURRENT SCIENCE C. V. Raman Avenue P. B. No. 8001, Bengaluru 560 080, India Telephone: 91-80-2361 2310/2266 1263 Fax: 91-80-2361 6094 e-mail: currsci@ias.ac.in Website: https://www.

reference frames (Neunuebel, Yoganarasimha, Rao, & Knierim, 6. To recap, the main points arising from this analysis are.

Savelli, F., Yoganarasimha, D and Knierim, J.J (2008). He proposed that networks that are critical for the animals could experience relationships computation of spatial maps and between place

instance, iconometric studies were undertaken on a laser-scanned image of the Yoga Narasimha at Hampi and inputs were given concerning generation of ontologies and demo on the theme of Girija Kalya

YOGA NARASIMHA COMPUTERS PRIVATE LIMITED. ALITE NETWORKING INFOSYSTEMS EDUCATION OF TECHNOLOGY.

9. I. Lee, D. Yoganarasimha, G. Rao, J. J. Knierim, Nature. that the change in the CA3 code is triggered by could be accomplished with attractor networks.

Lee I, Yoganarasimha D, Rao G, Knierim JJ. Compu- experience-dependent and environment-specific expression of tational models based on attractor networks show that Hebbian immediate early gene (G

Lee I, Yoganarasimha D, Rao G, Knierim JJ. 1983. A behavioral analysis of ensemble code for space [see comments].

On the occasion of doctors day celebration Dr. M. Shantharam Shetty, Pro-chancellor, Nitte University and Dr. S. Ramananda Shetty, Vice Chancellor, Nitte University felicitated Lieutenant Pilot Dr. K

2016) Kushwaha RV Rahul Singh (from Jan. 2017) Ram Prakash Madhya Pradesh Telangana Administrative Personnel Mohan Jadhav R - EE (upto 31.10.2016) Balappa Yallappa Talawar - LIO Bheem Sen Pappu - AD

COM PRIVATE LIMITED AJAY JAIN AJAY LAKHOTIA AJAY MAHAJAN AJAY SHAND AJAY GHANSHYAM MOTWANI AJAY KUMAR AGARWAL AJAY KUMAR AGGARWAL AJAY KUMAR KALRO AJAY KUMAR SOOD AJAY PRAKASH KUKREJA AJAY RAGAVENDRA

Savelli, F., Yoganarasimha, D and Knierim, J.J (2008). He proposed that networks that are critical for the animals could experience relationships computation of spatial maps and between place

he worshipped Ganeshwara first to facilitate the Yagna without obstacles and then worshipped Yoga Narasimha Swami and initiated the Yagna with formal Mantras by appointing Kumara Swami as Adhavarvu,

VANISHREE YOGANARASIMHA. SS WIRE NETTING WORKS.

yoganarasimha network analysis

yoganarasimha network analysis

10215 NAVASHAKSHARA MAHILA SWASAHAYA SANGHA ANGANANADI BUILDING KARADAKERE MADDUR ALUK MADYA DTSTRIC PIN CODE: 571422, STD CODE: NA , TEL NO: NA , FAX NO: NA, E-MAIL : N.A. 10216 SREEBALAGANGADHARANA

yoganarasimha network analysis

yoganarasimha network analysis

by SS Deshmukh · 2010 · Cited by 128 — 1,2 D. Yoganarasimha,1 Horatiu Voicu,1 and James J. Knierim1,2,3. 1Department of ... 50 spikes in a session were excluded from this analysis. Further, fast

Networks, Foster From of RL Networks, The Cauer Form of RC and RL Networks. ... For many single source, series-parallel networks, the analysis is one that ...Missing: yoganarasimha- ‎| Must includ

by SK KS — About half of the course time is devoted to. Introductory Circuit Theory covering the basic principles, DC circuit analysis, circuit theorems and single frequency ...Missing: yoganarasi

by A Sharma — Apoorv Sharma1, Indrajith R. Nair1, Yoganarasimha Doreswamy2 * ... R. P. Kesner, R. Giles, Neural circuit analysis of spatial working memory: ...

by DB Turner-Evans · Cited by 30 — come from analyses of head-direction cell population activity under a ... 2009; Peyrache et al., 2015; Taube et al., 1990b; Yoganarasimha et al., 2006). ... repr

by JP Neunuebel · 2013 · Cited by 105 — Joshua P. Neunuebel,1,3 D. Yoganarasimha,3 Geeta Rao,1,3 and James J. Knierim1,2,3 ... Consideration of the functional anatomy of the hippocampal circuit a

by LE Herzog · 2020 · Cited by 2 — preconfigured network of taste-responsive hippo- campal place cells ... p = 0.032) . In summary, taste-responsive cells initially have large place.

by Y Dordek · 2016 · Cited by 88 — of the network, since it is known that place cells reside at least one synapse ... In summary, both the direct PCA algorithm and the neural network solutions de

by A Treves · Cited by 9 — fied network models as the primary tool for analysis. ... Lee I, Yoganarasimha D, Rao G, Knierim JJ (2004) Comparison of population coherence ...

2 ENGINEERING CIRCUIT ANALYSIS. HAYT KEMMERLY ... BIRLA PUB. 1. 8. NETWORK ANALYSIS & SYNTHESIS ... YOGANARSIMHA. PHI. 1. 100 NCES.

by ES Nilssen · 2018 · Cited by 16 — (Hargreaves et al., 2005; Yoganarasimha et al., 2011) implies the presence ... riction digestion analyses and subsequently by DNA sequencing.

by EW Schomburg · 2014 — hippocampo-entorhinal network using both biophysical models and analyses of large- ... Deshmukh SS, Yoganarasimha D, Voicu H, Knierim JJ (2010) Theta ...

by M Frey · Cited by 1 — found the trained network provided a means to eciently conduct analyses ... direction (Jercog et al., 2019; Yoganarasimha et al., 2006), while place cell ring rates ...

May 28, 2021 — interacting attractor networks and feedforward models. Function. Decoding analysis showed that the multifield multiscale code ... I. Lee, D. Yoganarasimha, G. Rao, J. J. Knierim, Com

by MR Penner · 2012 · Cited by 86 — Cellular and network mechanisms underlying hippocampal context processing . ... integrating current literatures on spatial context analysis and decision-making

by ME Hasselmo · 2005 · Cited by 296 — hippocampal network impair memory-guided behavior. The model links data ... Summary of hippocampal model equations ... 5–10, and in the mathematical analy

by SM Kim · 2012 · Cited by 77 — Hippocampal place cells are part of a larger circuit for spatial representation that ... dependent analyses to times when there was a clear spectral peak in the.

by DB Poll · Cited by 1 — Key words. multilayer networks, neural fields, stochastic differential equations, bump ... The stationary bump solutions of this network are analyzed in ... [48] I. Lee,

by L de Almeida · 2007 · Cited by 86 — CA3 network: Role of gamma frequency oscillations ... roscientists analyze memory networks. ... Lee, I., Yoganarasimha, D., Rao, G., and Knierim, J.J. 2004.

LO2: network theorems and their application for network analysis ... [2] B.N. Yoganarasimha, Pulse and Digital Circuits, Dhanpat Rai Publications , 2006.

by ET Rolls · 2006 · Cited by 654 — produced a theory of the hippocampus in which the CA3 neurons operated as an ... ingham, 1990). The analysis of these autoassociation or attractor networks was

by Y Sun · 2018 · Cited by 13 — tracing. Our quantitative analyses show comparable strength of subiculum complex and ... which to determine the circuit bases for CA1 representations. ... Neunuebe

by MA Yassa · 2011 · Cited by 335 — network that predict age-related changes in memory function and ... bility, we performed a seed-style functional connectivity analysis ... Lee I, Yoganarasimha

by S Feng · 2016 · Cited by 3 — methods for their analysis and mathematical models of the ... models of neural circuits, brain areas and larger networks within the brain. In brief ...

by JE Hanson · 2010 · Cited by 20 — cognitive disease: network simulations of synaptic ... Each type of synaptic pathology either pushed the network ... ments. Our analysis begins with a review o

by JJ Knierim · 2012 · Cited by 151 — Attractor networks are a popular computational construct used to model different brain systems. ... 1995, 1998; Yoganarasimha & Knierim 2005). (c) Strong att

by BM Babayan · 2017 · Cited by 29 — analysis combined brain network characterization based on c-Fos imaging and ... Neunuebel, J. P., Yoganarasimha, D., Rao, G. & Knierim, J. J. ...

by E Bergmann · 2016 · Cited by 55 — Collectively, these findings indicate that sensory cortical networks are coupled to the mouse but not the ... analysis, the correlation maps of each animal we

by K Jezek · 2011 · Cited by 278 — mediate activity states, the CA3 network undergoes a short period of ... tools for subsecond-timescale neural population analyses. Here, we ... Lee, I., Yoganar

by JK Leutgeb · 2005 · Cited by 353 — Summary. Hippocampal neural codes for different, familiar envi- ronments are thought to reflect distinct attractor states ... the operation of attractor-base

by I Lee · Cited by 461 — subfields CA1 and CA3. Inah Lee*, D. Yoganarasimha, Geeta Rao & James J. Knierim ... To validate objectively the categorical analysis described above, a population correl

by S Leutgeb · 2005 · Cited by 196 — The recurrent networks of the hippocampal formation enable these spatial ... Marr D: Simple memory: a theory for archicortex. Philos Trans R.

by JR Hinman · 2013 · Cited by 26 — theta-related output of the CA3 network (Kocsis et al. 1999), which is presumed to ... All data analysis was conducted with custom-written programs in. MATLAB

by M Ramm · 2019 · Cited by 4 — memory (Bakker, Kirwan, Miller, & Stark, 2008; Lee, Yoganarasimha, Rao, & Knierim, ... during an auditory Stroop task by applying a region of interest analysis to

by BJ Clark · Cited by 112 — Table 1 | Summary of lesion results involving the HD cell circuit. Lesion area ... tuned neurons in the anteroventral thalamus (Yoganarasimha.

by O Baumann · 2013 · Cited by 32 — First, we restricted our analysis to the right hippocampus, given that previous literature ... Baumann O, Chan E, Mattingley JB (2012) Distinct neural networks

by K Mizuseki · 2014 — The funders had no role in study design, data collection and analysis, decision to ... Savelli F, Yoganarasimha D, Knierim JJ: Influence of boundary ... Diba K, Buzsaki G: H

by A Arleo · 2013 · Cited by 25 — hippocampal system (Yoganarasimha and Knierim, 2005; ... analysis, France Maloumian for preparing figures, Suzette Doutremer for histology, David Raballand for .

by B Zhang · 2020 · Cited by 3 — Representational similarity analysis revealed an object-based spatial representation in ... mPFC, which belong to the default-mode network, work together ... Wang

by MB Moser · 2015 · Cited by 335 — Recent studies have indicated that hippocampal networks allow for fast ... Yoganarasimha et al. 2006). ... I. Description and quantitative analysis. J Neurosci

by K Mizuseki · 2014 — The funders had no role in study design, data collection and analysis, decision to ... Savelli F, Yoganarasimha D, Knierim JJ: Influence of boundary removal on the ... Diba

by T Hafting · 2005 · Cited by 3432 — The network computes and represents posi- ... verified by spatial autocorrelation analyses, which for all cells showed ... The analysis confirmed this predic

Jan 20, 2013 — network is the grid cell, which fires in a matrix-like hexagonal pat- ... visible if the time window for the correlation analysis is made sufficiently ... Savelli, F., Yoganarasimha,

and Technology as a centre of excellence to co-ordinate and network neuroscience ... require special analysis techniques. ... Deshmukh SS, Yoganarasimha D,.

by G Buzsáki · Cited by 8 — network oscillations, internally generated assembly sequences in the service of ... representations, a principal component analysis was conducted on the mean rate ...

by L Kunz · 2020 · Cited by 2 — anchor cells after excluding neurons from the anchor-cell analysis that ... that anchor cells were strongly integrated into the memory network, ...

by JT SNEIDER · 2006 · Cited by 29 — network is under greater behavioral state-dependent regula- tion than CA3. The present ... minimum of 100 spikes to be included in the analysis. In addition,.

by MB Moser · 2014 · Cited by 335 — Recent studies have indicated that hippocampal networks allow for fast storage ... specialized cell types in the entorhinal–hippocampal circuit may be at the

by AT Keinath · Cited by 1 — deformation (Barry et al., 2007; Savelli, Yoganarasimha, & Knierim,. 2008 ... ment (Figure S3), we were unable to apply the same shift analysis to ... derived from a n

by MM Yartsev · 2011 · Cited by 352 — To elucidate the cellular and network mechanisms of grid cells in mammalian entorhinal ... spectral analysis of the LFP, neither during sleep (Fig. 1e, left)

Engineering network analysis and filter design by Gopal G. Bhise, Umesh ... YogaNarasimha “Pulse and Digital Circuits,” David J.Comer,”Digital Logic State ...

a vast network of interconnected neurons. Precise neuronal ... or 7 days for analysis of miR-155 expression using qPCR. For in situ ... D. Yoganarasimha: The Map in the Brain: The 2014 Nobel Prize in

of acute bipolar mania: A Bayesian network meta-analysis for binary outcome data' ... Ms. Shruthi S Sharma, MPhil Student, Dr. D Yoganarasimha. Additional ...

The talk was given by Mr. M. S. Yoganarasimha, an alumnus of BMS College of ... Later the highest three levels of Bloom's: analysis, evaluation and creation.

through a linear network, and in many cases the output signal may bear very little ... analysis is as follows: The low-pass circuit acts as an integrator provided the ...

by KN Win · 2020 · Cited by 24 — Various machine learning and neural network approaches have been ... fingerprint is primarily used in the analysis of the crime and the ... [38] V.C. Nayak, P. Ra

by CM Bird · 2010 · Cited by 109 — 2002; Yoganarasimha and Knierim, 2005) but showing little re- sponse to more ... Initial analyses identified a network of brain regions recruited.

by SS Deshmukh · 2010 · Cited by 128 — strong enough to be useful for this analysis. Therefore for both MEC and LEC data, a single tetrode with the greatest power in the theta.14 pages