Elements of information theory
Elements of information theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Synaptic transmission: an information-theoretic perspective
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Spikes: exploring the neural code
Spikes: exploring the neural code
Signal detection in noisy weakly-active dendrites
Proceedings of the 1998 conference on Advances in neural information processing systems II
Methods in Neuronal Modeling: From Ions to Networks
Methods in Neuronal Modeling: From Ions to Networks
The Computer and the Brain
Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)
Estimating the temporal interval entropy of neuronal discharge
Neural Computation
Enhancement of information transmission efficiency by synaptic failures
Neural Computation
On two-layer brain-inspired hierarchical topologies – a rent's rule approach –
Transactions on High-Performance Embedded Architectures and Compilers IV
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The temporal precision with which neurons respond to synaptic inputs has a direct bearing on the nature of the neural code. A characterization of the neuronal noise sources associated with different sub-cellular components (synapse, dendrite, soma, axon, and so on) is needed to understand the relationship between noise and information transfer. Here we study the effect of the unreliable, probabilistic nature of synaptic transmission on information transfer in the absence of interaction among presynaptic inputs. We derive theoretical lower bounds on the capacity of a simple model of a cortical synapse under two different paradigms. In signal estimation, the signal is assumed to be encoded in the mean firing rate of the presynaptic neuron, and the objective is to estimate the continuous input signal from the postsynaptic voltage. In signal detection, the input is binary, and the presence or absence of a presynaptic action potential is to be detected from the postsynaptic voltage. The efficacy of information transfer in synaptic transmission is characterized by deriving optimal strategies under these two paradigms. On the basis of parameter values derived from neocortex, we find that single cortical synapses cannot transmit information reliably, but redundancy obtained using a small number of multiple synapses leads to a significant improvement in the information capacity of synaptic transmission.