Papers
For those into numbers, here's more.
[1]. K Rajan, CD Harvey and DW Tank, Recurrent Network Models of Sequence Generation and Memory, Neuron, DOI: 10.1016/j.neuron.2016.02.009, (2016).[PDF]
[2]. K Rajan and W Bialek, Maximally Informative “Stimulus Energies” in the Analysis of Neural Responses to Natural Signals, PLoS One, 8: 11: e71959., (2013). [PDF]
[3]. K Rajan, O Marre and G Tkacik, Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli: Information Theoretic and Likelihood Methods, Neural Computation, 25: 7: 1661–1692 (2012). [PDF]
[4]. K Rajan, LF Abbott and H Sompolinsky, Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics, In Lafferty, Williams, Shawne-Taylor, Zemel and Culotta. Advances in Neural Information Processing Systems 23 (2010). [PDF]
[5]. K Rajan, LF Abbott and H Sompolinksy, Stimulus-dependent Suppression of Chaos in Recurrent Neural Networks, Physical Reviews E., 82: 01193 (2010). [PDF]
[6]. LF Abbott, K Rajan and H Sompolinksy, Interactions Between Intrinsic and Stimulus-Dependent Activity in Recurrent Neural Networks, The Dynamic Brain: An Exploration of Neuronal Variability and its Functional Significance, M Ding and D Glanzman eds., Oxford University Press (2009). [PDF]
[7]. K Rajan, LF Abbott and H Sompolinsky, Stimulus-dependent Suppression of Intrinsic Variability in Recurrent Neural Networks, BioMed Central Neuroscience, 11, O17: 11 (2010). [PDF]
[8]. K Rajan, What do Random Matrices Tell us About the Brain? Grace Hopper Celebration of Women in Computing, published by the Anita Borg Institute for Women and Technology and the Association for Computing Machinery, peer-reviewed and awarded the Young Investigator Prize (2010). [PDF]
[9]. K Rajan and LF Abbott, Temperature Compensation of Chemical Reactions, Physical Reviews E., 75: 022902 (2007). [PDF]
[10]. K Rajan and LF Abbott, Eigenvalue Spectra of Random Matrices for Neural Networks, Physical Reviews Letters, 97: 188104 (2006). [PDF]
[11]. TP Vogels, K Rajan and LF Abbott, Neural Network Dynamics, Annual Review of Neuroscience, 28: 357 (2005). [PDF]
[12]. K Rajan, Nonchaotic Responses from Randomly Connected Networks of Model Neurons, Ph. D. Dissertation from Columbia University in the City of New York, New York, USA (2009). [Sampler]