Unsupervised learning with self-organizing spiking neural networks
We present a system comprising a hybridization of self-organized map (SOM) properties
with spiking neural networks (SNNs) that retain many of the features of SOMs. Networks are …
with spiking neural networks (SNNs) that retain many of the features of SOMs. Networks are …
[HTML][HTML] Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks
The spontaneous activity of cortical networks is characterized by the emergence of different
dynamic states. Although several attempts were accomplished to understand the origin of …
dynamic states. Although several attempts were accomplished to understand the origin of …
Short-term memory in networks of dissociated cortical neurons
MR Dranias, H Ju, E Rajaram… - Journal of …, 2013 - Soc Neuroscience
Short-term memory refers to the ability to store small amounts of stimulus-specific
information for a short period of time. It is supported by both fading and hidden memory …
information for a short period of time. It is supported by both fading and hidden memory …
High-throughput PEDOT: PSS/PtNPs-modified microelectrode array for simultaneous recording and stimulation of hippocampal neuronal networks in gradual learning …
S Xu, Y Deng, J Luo, E He, Y Liu, K Zhang… - … Applied Materials & …, 2022 - ACS Publications
When it comes to mechanisms of brain functions such as learning and memory mediated by
neural networks, existing multichannel electrophysiological detection and regulation …
neural networks, existing multichannel electrophysiological detection and regulation …
[HTML][HTML] Multiple neuron clusters on Micro-Electrode Arrays as an in vitro model of brain network
Understanding the brain functioning is essential for governing brain processes with the aim
of managing pathological network dysfunctions. Due to the morphological and biochemical …
of managing pathological network dysfunctions. Due to the morphological and biochemical …
An experimental paradigm to investigate stimulation dependent activity in topologically constrained neuronal networks
SJ Ihle, S Girardin, T Felder, T Ruff, J Hengsteler… - Biosensors and …, 2022 - Elsevier
We present a stimulate and record paradigm to examine the behavior of multiple neuronal
networks with controlled topology in vitro. Our approach enabled us to electrically induce …
networks with controlled topology in vitro. Our approach enabled us to electrically induce …
From functional to structural connectivity using partial correlation in neuronal assemblies
Objective. Our goal is to re-introduce an optimized version of the partial correlation to infer
structural connections from functional-effective ones in dissociated neuronal cultures …
structural connections from functional-effective ones in dissociated neuronal cultures …
Consolidation of memory traces in cultured cortical networks requires low cholinergic tone, synchronized activity and high network excitability
I Dias, MR Levers, M Lamberti… - Journal of neural …, 2021 - iopscience.iop.org
In systems consolidation, encoded memories are replayed by the hippocampus during slow-
wave sleep (SWS), and permanently stored in the neocortex. Declarative memory …
wave sleep (SWS), and permanently stored in the neocortex. Declarative memory …
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data
Spiking neural networks (SNNs) with a lattice architecture are introduced in this work,
combining several desirable properties of SNNs and self-organized maps (SOMs). Networks …
combining several desirable properties of SNNs and self-organized maps (SOMs). Networks …
[HTML][HTML] meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays
Here we present an open-source R package 'meaRtools' that provides a platform for
analyzing neuronal networks recorded on Microelectrode Arrays (MEAs). Cultured neuronal …
analyzing neuronal networks recorded on Microelectrode Arrays (MEAs). Cultured neuronal …