Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex [PDF]
, 2013 The information processing abilities of neural circuits arise from their synaptic connection patterns. Understanding the laws governing these connectivity patterns is essential for understanding brain function.
Jochen Triesch (106561) +13 more
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Recent Progress in Synaptic Devices Based on 2D Materials
Advanced Intelligent Systems, 2020 Diverse synaptic plasticity with a wide range of timescales in biological synapses plays an important role in memory, learning, and various signal processing with exceptionally low power consumption.
Linfeng Sun, Wei Wang, Heejun Yang
doaj +1 more source
Tunable synaptic working memory with volatile memristive devices
Neuromorphic Computing and Engineering, 2023 Abstract Different real-world cognitive tasks evolve on different relevant timescales. Processing these tasks requires memory mechanisms able to match their specific time constants. In particular, the working memory (WM) utilizes mechanisms that span orders of magnitudes of timescales, from milliseconds to seconds or even minutes.
Saverio Ricci +4 more
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Top-Gate Transparent Organic Synaptic Transistors Based on Co-Mingled Heterojunctions
, 2023 The rapid development of electronics and materials science has driven the progress of various electronic devices, and the new generation of electronic devices, represented by wearable smart products, has introduced transparent new demands on the devices.
Guocheng Zhang +5 more
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Advanced Electronic Materials, 2023 If the speed of machine learning is to be improved, devices and systems with strong resistances to various types of internal noise, mainly internal thermal noise, are urgently needed. The successful demonstration of a synaptic device is reported based on
Haoqun An +4 more
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A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory [PDF]
, 2003 Chicca E, Badoni D, Dante V, et al. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks.
Fusi, S. +7 more
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Emulating short-term synaptic dynamics with memristive devices [PDF]
Scientific Reports, 2016 AbstractNeuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine biological fidelity.
Wei, S.L. +5 more
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Entorhinal denervation induces homeostatic synaptic scaling of excitatory postsynapses of dentate granule cells in mouse organotypic slice cultures [PDF]
, 2012 Denervation-induced changes in excitatory synaptic strength were studied following entorhinal deafferentation of hippocampal granule cells in mature (≥3 weeks old) mouse organotypic entorhino-hippocampal slice cultures.
Roeper, Jochen +23 more
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Low‐Power Computing with Neuromorphic Engineering
Advanced Intelligent Systems, 2021 The increasing power consumption in the existing computation architecture presents grand challenges for the performance and reliability of very‐large‐scale integrated circuits. Inspired by the characteristics of the human brain for processing complicated
Dingbang Liu, Hao Yu, Yang Chai
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Spike train auto-structure impacts post-synaptic firing and timing-based plasticity [PDF]
, 2011 Cortical neurons are typically driven by several thousand synapses. The precise spatiotemporal pattern formed by these inputs can modulate the response of a post-synaptic cell.
Pipa, Gordon +7 more
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