4 research outputs found
Computational paradigm for dynamic logic-gates in neuronal activity
In 1943 McCulloch and Pitts suggested that the brain is composed of reliable
logic-gates similar to the logic at the core of today's computers. This
framework had a limited impact on neuroscience, since neurons exhibit far
richer dynamics. Here we propose a new experimentally corroborated paradigm in
which the truth tables of the brain's logic-gates are time dependent, i.e.
dynamic logicgates (DLGs). The truth tables of the DLGs depend on the history
of their activity and the stimulation frequencies of their input neurons. Our
experimental results are based on a procedure where conditioned stimulations
were enforced on circuits of neurons embedded within a large-scale network of
cortical cells in-vitro. We demonstrate that the underlying biological
mechanism is the unavoidable increase of neuronal response latencies to ongoing
stimulations, which imposes a nonuniform gradual stretching of network delays.
The limited experimental results are confirmed and extended by simulations and
theoretical arguments based on identical neurons with a fixed increase of the
neuronal response latency per evoked spike. We anticipate our results to lead
to better understanding of the suitability of this computational paradigm to
account for the brain's functionalities and will require the development of new
systematic mathematical methods beyond the methods developed for traditional
Boolean algebra.Comment: 32 pages, 14 figures, 1 tabl
An experimental evidence-based computational paradigm for new logic-gates in neuronal activity
We propose a new experimentally corroborated paradigm in which the
functionality of the brain's logic-gates depends on the history of their
activity, e.g. an OR-gate that turns into a XOR-gate over time. Our results are
based on an experimental procedure where conditioned stimulations were enforced
on circuits of neurons embedded within a large-scale network of cortical cells
in-vitro. The underlying biological mechanism is the unavoidable increase of
neuronal response latency to ongoing stimulations, which imposes a non-uniform
gradual stretching of network delays.Comment: 10 pages, 4 figures, 1 tabl
Sudden synchrony leaps accompanied by frequency multiplications in neuronal activity
A classical view of neural coding relies on temporal firing synchrony among
functional groups of neurons; however the underlying mechanism remains an
enigma. Here we experimentally demonstrate a mechanism where time-lags among
neuronal spiking leap from several tens of milliseconds to nearly zero-lag
synchrony. It also allows sudden leaps out of synchrony, hence forming short
epochs of synchrony. Our results are based on an experimental procedure where
conditioned stimulations were enforced on circuits of neurons embedded within a
large-scale network of cortical cells in vitro and are corroborated by
simulations of neuronal populations. The underlying biological mechanisms are
the unavoidable increase of the neuronal response latency to ongoing
stimulations and temporal or spatial summation required to generate evoked
spikes. These sudden leaps in and out of synchrony may be accompanied by
multiplications of the neuronal firing frequency, hence offering reliable
information-bearing indicators which may bridge between the two principal
neuronal coding paradigms.Comment: 23 pages, 3 figure