Principles of real-time computing with feedback applied to cortical microcircuit models
暂无分享,去创建一个
[1] Eduardo D. Sontag,et al. Computational Aspects of Feedback in Neural Circuits , 2006, PLoS Comput. Biol..
[2] H. Markram,et al. Differential signaling via the same axon of neocortical pyramidal neurons. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[3] M. Shadlen,et al. A role for neural integrators in perceptual decision making. , 2003, Cerebral cortex.
[4] Henry Markram,et al. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.
[5] A. Destexhe,et al. The high-conductance state of neocortical neurons in vivo , 2003, Nature Reviews Neuroscience.
[6] H Sebastian Seung,et al. Plasticity and tuning by visual feedback of the stability of a neural integrator. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[7] Mike Casey,et al. The Dynamics of Discrete-Time Computation, with Application to Recurrent Neural Networks and Finite State Machine Extraction , 1996, Neural Computation.
[8] Pekka Orponen,et al. On the Effect of Analog Noise in Discrete-Time Analog Computations , 1996, Neural Computation.
[9] H. Markram,et al. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. , 2000, Science.
[10] Harald Haas,et al. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.
[11] Michael S. Branicky,et al. Universal Computation and Other Capabilities of Hybrid and Continuous Dynamical Systems , 1995, Theor. Comput. Sci..
[12] Wolfgang Maass,et al. Movement Generation with Circuits of Spiking Neurons , 2005, Neural Computation.