Plastic Synapses - Regularity Counting
PlaSyn (Plastic Synapses) is a computational neuroscience project about modeling basic learning functions at the level of synapses.
The objective was to design models that adapt to regular frequencies with different rates as time flows.
During the research, we proposed and validated many different models for their behavior and biological plausibility.
Research conducted at the Institute of Normal and Pathological Physiology, Slovak Academy of Sciences, Bratislava, Slovakia.
Research conducted at the Institute of Normal and Pathological Physiology, Slovak Academy of Sciences, Bratislava, Slovakia.
Documentation
Software Releases
PlaSyn models behavior and function of plastic synapses. Written in Borland C++ Builder. Each archive includes sources and Win32 binary.
Version 6.x (2004)
Version 5.x (2004)
PlaSyn v5.0
23.02.2004
PlaSyn v5.1
07.03.2004
PlaSyn v5.2
20.03.2004
PlaSyn v5.3
04.04.2004
PlaSyn v5.4
11.05.2004
PlaSyn v5.5
13.05.2004
Version 4.x (2003-2004)
Version 3.x (2003)
Version 2.x (2003)
Version 1.x (2003)
PlaSyn v1.0
28.09.2003
References
[1] Ján Jančo, Ivan Stavrovský, Juraj Pavlásek
Modeling of neuronal functions: a neuronlike element with the graded response.
Computers and Artificial Intelligence, Vol 13., 1994 No. 6, 603-620
Modeling of neuronal functions: a neuronlike element with the graded response.
Computers and Artificial Intelligence, Vol 13., 1994 No. 6, 603-620
[2] Juraj Pavlásek, Ján Jenča, Radoslav Harman
Rate coding: neurobiological network performing detection of the difference between mean spiking rates.
Acta Neurobiol. Exp. 2003, 63: 83-98
Rate coding: neurobiological network performing detection of the difference between mean spiking rates.
Acta Neurobiol. Exp. 2003, 63: 83-98
[3] Juraj Pavlásek, Ján Jenča
Temporal coding and recognition of uncued temporal patterns in neuronal spike trains: Biologically plausible network of coincidence detectors and coordinated time delays.
Biologia Bratislava, 56/6: 591-604, 2001
Temporal coding and recognition of uncued temporal patterns in neuronal spike trains: Biologically plausible network of coincidence detectors and coordinated time delays.
Biologia Bratislava, 56/6: 591-604, 2001
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