Quantifying Neurotransmission Reliability Through Metrics-Based Information Analysis
From MaRDI portal
Publication:3019868
DOI10.1162/NECO_a_00099zbMath1217.92025OpenAlexW2153384964WikidataQ51615692 ScholiaQ51615692MaRDI QIDQ3019868
Romain Brasselet, Angelo Arleo, Roland S. Johansson
Publication date: 29 July 2011
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00099
Neural biology (92C20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Measures of information, entropy (94A17)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- A Novel Spike Distance
- The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models
- Information-theoretic asymptotics of Bayes methods
- A New Multineuron Spike Train Metric
- Indices for Testing Neural Codes
- How Synaptic Release Probability Shapes Neuronal Transmission: Information-Theoretic Analysis in a Cerebellar Granule Cell
- Information storage in sparsely coded memory nets
- Nonlinear feedforward networks with stochastic outputs: infomax implies redundancy reduction
- Information transfer in entrained cortical neurons
- Detecting and Estimating Signals over Noisy and Unreliable Synapses: Information-Theoretic Analysis
- Enhancement of Information Transmission Efficiency by Synaptic Failures
- Fisher information and stochastic complexity
- Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis