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Literature DB >> 226182

Analysis of "integrate-to-threshold" neural coding schemes.

Abstract

Methods of analysis for some deterministic and stochastic variants of the integrate-to-threshold neural coding scheme are presented. Adaptation phenomena are modeled by means of feedforward and feedback adaptive threshold control. Simulations of sinusoidal and step responses reproduce satisfactorily the qualitative characteristics of adaptation as compared with physiological data. It is postulated that such adaptive threshold control may be accomplished by the release, or conformation change, of molecules involved in the control of excitable-channel dynamics.

Mesh：

Year: 1979 PMID： 226182 DOI： 10.1007/bf00365471

Source DB: PubMed Journal: Biol Cybern ISSN： 0340-1200 Impact factor: 2.086

16 in total

1. Neuron doctrine and electrophysiology.

Authors: T H BULLOCK
Journal: Science Date: 1959-04-17 Impact factor: 47.728

2. Distortion suppression in neuromuscular information transmission due to interchannel dispersion in muscle spindle firing thresholds.

Authors: P Milgram; G F Inbar
Journal: IEEE Trans Biomed Eng Date: 1976-01 Impact factor: 4.538

Review 3. Membrane noise.

Authors: A A Verveen; L J DeFelice
Journal: Prog Biophys Mol Biol Date: 1974 Impact factor: 3.667

Review 9. Neural modeling.

Authors: L D Harmon; E R Lewis
Journal: Physiol Rev Date: 1966-07 Impact factor: 37.312

Analysis of "integrate-to-threshold" neural coding schemes.

1. Neuron doctrine and electrophysiology.

2. Distortion suppression in neuromuscular information transmission due to interchannel dispersion in muscle spindle firing thresholds.

Review 3. Membrane noise.

4. Repetitive firing behavior of mammalian muscle spindle.

5. Pulse frequency modulation in neural systems. A random model.

6. Repetitive firing: dynamic behavior of sensory neurons reconciled with a quantitative model.

7. The frequency response, coherence, and information capacity of two neuronal models.

8. Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis.

Review 9. Neural modeling.

10. Multiple meaning in single visual units.

1. Comparison between single signed integral pulse frequency and sine wave crossing modulation techniques.

2. Demodulation methods for an adaptive neural encoder model.

3. Adaptive neural encoder model with selfinhibition and threshold control.

4. A model for impulse frequency modulation used in neural encoding.