ArticleFrontiers in computational neuroscience2014
A computational paradigm for dynamic logic-gates in neuronal activity.
Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 38 citations in OpenAlex.
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- Brain inspired neuronal silencing mechanism to enable reliable sequence identification.Scientific reports · 2022Article
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- Efficient dendritic learning as an alternative to synaptic plasticity hypothesis.Scientific reports · 2022Article
- Reconfigurable Filtering of Neuro-Spike Communications Using Synthetically Engineered Logic Circuits.Frontiers in computational neuroscience · 2020Article
- Modeling somatic computation with non-neural bioelectric networks.Scientific reports · 2019Article
- Computational neuroscience and neuroinformatics: Recent progress and resources.Journal of biosciences · 2018Review
- Less Might Be More: Conduction Failure as a Factor Possibly Limiting the Efficacy of Higher Frequencies in rTMS Protocols.Frontiers in neuroscience · 2018Article
- Boolean network model for GPR142 against Type 2 diabetes and relative dynamic change ratio analysis using systems and biological circuits approach.Systems and synthetic biology · 2015Article
- Bridging the Two Worlds: A Universal Interface between Enzymatic and DNA Computing Systems.Angewandte Chemie (International ed. in English) · 2015Article
- Broadband macroscopic cortical oscillations emerge from intrinsic neuronal response failures.Frontiers in neural circuits · 2015Article
- Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision.Frontiers in neural circuits · 2015Article
- A computational paradigm for dynamic logic-gates in neuronal activity.Frontiers in computational neuroscience · 2014Article
- Sudden synchrony leaps accompanied by frequency multiplications in neuronal activity.Frontiers in neural circuits · 2013Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 logic-gates (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 non-uniform 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.