Grace W Lindsay
Grace W Lindsay
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Parallel processing by cortical inhibition enables context-dependent behavior
KV Kuchibhotla, JV Gill, GW Lindsay, ES Papadoyannis, RE Field, ...
Nature Neuroscience 20 (1), 62-71, 2017
2022017
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
2012019
Convolutional neural networks as a model of the visual system: past, present, and future
GW Lindsay
Journal of cognitive neuroscience, 1-15, 2020
602020
How biological attention mechanisms improve task performance in a large-scale visual system model
GW Lindsay, KD Miller
eLife 7, e38105, 2018
39*2018
Attention in psychology, neuroscience, and machine learning
GW Lindsay
Frontiers in computational neuroscience 14, 29, 2020
272020
Hebbian learning in a random network captures selectivity properties of the prefrontal cortex
GW Lindsay, M Rigotti, MR Warden, EK Miller, S Fusi
Journal of Neuroscience 37 (45), 11021-11036, 2017
262017
Feature Based Attention in Convolutional Neural Networks
GW Lindsay
arXiv, 2015
132015
A unified circuit model of attention: neural and behavioral effects
GW Lindsay, DB Rubin, KD Miller
bioRxiv, 2019.12. 13.875534, 2020
3*2020
Deep convolutional neural networks as models of the visual system: Q&A
G Lindsay, MW Elsewhere, N Blog
Neurdiness—Thinking about Brains, 2018
32018
Neuromatch Academy: teaching computational neuroscience with global accessibility
T van Viegen, A Akrami, K Bonnen, E DeWitt, A Hyafil, H Ledmyr, ...
Trends in cognitive sciences, 2021
22021
Connecting scene statistics to probabilistic population codes and tuning properties of V1 neurons
B Poole, I Lenz, G Lindsay, JM Samonds, TS Lee
Soc Neurosci Abstr 36 (531.3), 2010
22010
Do Biologically-Realistic Recurrent Architectures Produce Biologically-Realistic Models?
GW Lindsay, TH Moskovitz, GR Yang, KD Miller
Cognitive Computational Neuroscience, 2019
12019
Membrane potential statistics reveal detailed correlation structure
G Lindsay, AF Bujan, A Aertsen, A Kumar
Front. Comput. Neurosci. Conference Abstract: Bernstein Conference, 2012
12012
Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning
GW Lindsay
Frontiers in Computational Neuroscience, 2021
2021
Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
G Lindsay
Bloomsbury Publishing, 2021
2021
Understanding the functional and structural differences across excitatory and inhibitory neurons
S Minni, L Ji-An, T Moskovitz, G Lindsay, K Miller, M Dipoppa, GR Yang
2019
Modeling the impact of internal state on sensory processing
GW Lindsay
Columbia University, 2018
2018
Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC
GW Lindsay, M Rigotti, MR Warden, EK Miller, S Fusi
Twenty Third Annual Computational Neuroscience Meeting: CNS*2014 15 (1), 2014
2014
'Within' versus 'between' pairwise correlations and their relation to the network structure
GW Lindsay, AF Bujan, A Aertsen, A Kumar
Society for Neuroscience, 2012
2012
Quality of tuning curves and their effect on population coding
GW Lindsay, B Poole, B Doiron, J Samonds, TS Lee
Cosyne, 2011
2011
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Articles 1–20