Detalhe da pesquisa
1.
Modeling functional cell types in spike train data.
PLoS Comput Biol
; 19(10): e1011509, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37824442
2.
Nonlinear convergence boosts information coding in circuits with parallel outputs.
Proc Natl Acad Sci U S A
; 118(8)2021 02 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33593894
3.
Cell-type-specific neuromodulation guides synaptic credit assignment in a spiking neural network.
Proc Natl Acad Sci U S A
; 118(51)2021 12 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-34916291
4.
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks.
Neural Comput
; 35(4): 555-592, 2023 03 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-36827598
5.
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex.
PLoS Comput Biol
; 18(9): e1010427, 2022 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36067234
6.
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch.
Neural Comput
; 34(3): 541-594, 2022 02 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-35016220
7.
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.
PLoS Comput Biol
; 15(7): e1006446, 2019 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-31299044
8.
Predicting how and when hidden neurons skew measured synaptic interactions.
PLoS Comput Biol
; 14(10): e1006490, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30346943
9.
Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.
Neural Comput
; 30(5): 1209-1257, 2018 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-29566355
10.
Linking structure and activity in nonlinear spiking networks.
PLoS Comput Biol
; 13(6): e1005583, 2017 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-28644840
11.
Robust information propagation through noisy neural circuits.
PLoS Comput Biol
; 13(4): e1005497, 2017 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-28419098
12.
A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data.
Entropy (Basel)
; 20(7)2018 Jun 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33265579
13.
Different roles for inhibition in the rhythm-generating respiratory network.
J Neurophysiol
; 118(4): 2070-2088, 2017 10 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28615332
14.
Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems.
PLoS Comput Biol
; 12(12): e1005258, 2016 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27973557
15.
How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?
PLoS Comput Biol
; 12(10): e1005150, 2016 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-27741248
16.
Constructing Precisely Computing Networks with Biophysical Spiking Neurons.
J Neurosci
; 35(28): 10112-34, 2015 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26180189
17.
The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes.
PLoS Comput Biol
; 10(2): e1003469, 2014 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-24586128
18.
How connectivity structure shapes rich and lazy learning in neural circuits.
ArXiv
; 2024 Feb 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37873007
19.
Transition to chaos separates learning regimes and relates to measure of consciousness in recurrent neural networks.
bioRxiv
; 2024 May 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38798582
20.
Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity.
J Neurophysiol
; 109(10): 2542-59, 2013 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-23446688