Grace W Lindsay
Grace W Lindsay
Verified email at - Homepage
Cited by
Cited by
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
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
Convolutional neural networks as a model of the visual system: past, present, and future
GW Lindsay
Journal of cognitive neuroscience, 1-15, 2020
How biological attention mechanisms improve task performance in a large-scale visual system model
GW Lindsay, KD Miller
eLife 7, e38105, 2018
Attention in psychology, neuroscience, and machine learning
GW Lindsay
Frontiers in computational neuroscience 14, 29, 2020
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
Feature Based Attention in Convolutional Neural Networks
GW Lindsay
arXiv, 2015
A unified circuit model of attention: neural and behavioral effects
GW Lindsay, DB Rubin, KD Miller
bioRxiv, 2019.12. 13.875534, 2020
Deep convolutional neural networks as models of the visual system: Q&A
G Lindsay, MW Elsewhere, N Blog
Neurdiness—Thinking about Brains, 2018
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
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
Do Biologically-Realistic Recurrent Architectures Produce Biologically-Realistic Models?
GW Lindsay, TH Moskovitz, GR Yang, KD Miller
Cognitive Computational Neuroscience, 2019
Membrane potential statistics reveal detailed correlation structure
G Lindsay, AF Bujan, A Aertsen, A Kumar
Front. Comput. Neurosci. Conference Abstract: Bernstein Conference, 2012
Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning
GW Lindsay
Frontiers in Computational Neuroscience, 2021
Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain
G Lindsay
Bloomsbury Publishing, 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
Modeling the impact of internal state on sensory processing
GW Lindsay
Columbia University, 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
'Within' versus 'between' pairwise correlations and their relation to the network structure
GW Lindsay, AF Bujan, A Aertsen, A Kumar
Society for Neuroscience, 2012
Quality of tuning curves and their effect on population coding
GW Lindsay, B Poole, B Doiron, J Samonds, TS Lee
Cosyne, 2011
The system can't perform the operation now. Try again later.
Articles 1–20