1 code implementation • 3 Aug 2021 • Joshua Bowren, Luis Sanchez-Giraldo, Odelia Schwartz
Sparse coding has been incorporated in models of the visual cortex for its computational advantages and connection to biology.
1 code implementation • 7 Jun 2018 • Md Nasir Uddin Laskar, Luis G. Sanchez Giraldo, Odelia Schwartz
Deep convolutional neural networks (CNNs) trained on objects and scenes have shown intriguing ability to predict some response properties of visual cortical neurons.
no code implementations • 5 Jun 2018 • Luis Gonzalo Sanchez Giraldo, Odelia Schwartz
Deep convolutional neural networks (CNNs) are becoming increasingly popular models to predict neural responses in visual cortex.
no code implementations • Journal of Neural Engineering 2018 • Ziqian Xie, Odelia Schwartz, Abhishek Prasad
We predicted the finger trajectory using ECoG signals and compared results for the least angle regression (LARS), CNN-LSTM, random forest, LSTM model (LSTM_HC, for using hard-coded features) and a decoding pipeline consisting of band-pass filtering, energy extraction, feature selection and linear regression.
no code implementations • NeurIPS 2009 • Ruben Coen-Cagli, Peter Dayan, Odelia Schwartz
A central hypothesis about early visual processing is that it represents inputs in a coordinate system matched to the statistics of natural scenes.
no code implementations • NeurIPS 2001 • Odelia Schwartz, E.J. Chichilnisky, Eero P. Simoncelli
Spike-triggered averaging techniques are effective for linear characterization of neural responses.