Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Probabilistic interpretation of population codes
Neural Computation
Chaotic balanced state in a model of cortical circuits
Neural Computation
On the relevance of time in neural computation and learning
Theoretical Computer Science
Reliability of spike timing is a general property of spiking model neurons
Neural Computation
Gaussian Process Approach to Stochastic Spiking Neurons with Reset
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
The evidence for neural information processing with precise spike-times: A survey
Natural Computing: an international journal
Neurons Tune to the Earliest Spikes Through STDP
Neural Computation
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding
Neural Computation
Recognition by Variance: Learning Rules for Spatiotemporal Patterns
Neural Computation
Towards cortex sized artificial neural systems
Neural Networks
A Method for Selecting the Bin Size of a Time Histogram
Neural Computation
Valuations for spike train prediction
Neural Computation
Kernel bandwidth optimization in spike rate estimation
Journal of Computational Neuroscience
Detection of hidden structures in nonstationary spike trains
Neural Computation
Finding the event structure of neuronal spike trains
Neural Computation
Temporal processing in a spiking model of the visual system
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
The Ising decoder: reading out the activity of large neural ensembles
Journal of Computational Neuroscience
Hi-index | 0.00 |
How reliably do action potentials in cortical neurons encode information about a visual stimulus? Most physiological studies do not weigh the occurrences of particular action potentials as significant but treat them only as reflections of average neuronal excitation. We report that single neurons recorded in a previous study by Newsome et al. (1989; see also Britten et al. 1992) from cortical area MT in the behaving monkey respond to dynamic and unpredictable motion stimuli with a markedly reproducible temporal modulation that is precise to a few milliseconds. This temporal modulation is stimulus dependent, being present for highly dynamic random motion but absent when the stimulus translates rigidly.