Spatial properties of STDP in a self-learning spiking neural network enable controlling a mobile robot
SA Lobov, AN Mikhaylov, M Shamshin… - Frontiers in …, 2020 - frontiersin.org
Development of spiking neural networks (SNNs) controlling mobile robots is one of the
modern challenges in computational neuroscience and artificial intelligence. Such networks …
modern challenges in computational neuroscience and artificial intelligence. Such networks …
Design of Cultured Neuron Networks in vitro with Predefined Connectivity Using Asymmetric Microfluidic Channels
The architecture of neuron connectivity in brain networks is one of the basic mechanisms by
which to organize and sustain a particular function of the brain circuitry. There are areas of …
which to organize and sustain a particular function of the brain circuitry. There are areas of …
Modular microstructure design to build neuronal networks of defined functional connectivity
Theoretical and in vivo neuroscience research suggests that functional information transfer
within neuronal networks is influenced by circuit architecture. Due to the dynamic …
within neuronal networks is influenced by circuit architecture. Due to the dynamic …
Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
Y Liu, S Xu, Y Yang, K Zhang, E He, W Liang… - Microsystems & …, 2023 - nature.com
A bidirectional in vitro brain–computer interface (BCI) directly connects isolated brain cells
with the surrounding environment, reads neural signals and inputs modulatory instructions …
with the surrounding environment, reads neural signals and inputs modulatory instructions …
Closed-loop systems and in vitro neuronal cultures: Overview and applications
One of the main limitations preventing the realization of a successful dialogue between the
brain and a putative enabling device is the intricacy of brain signals. In this perspective …
brain and a putative enabling device is the intricacy of brain signals. In this perspective …
Spatial computing in modular spiking neural networks with a robotic embodiment
One of the challenges in modern neuroscience is creating a brain-on-a-chip. Such a
semiartificial device based on neural networks grown in vitro should interact with the …
semiartificial device based on neural networks grown in vitro should interact with the …
Experimental platform to study spiking pattern propagation in modular networks in vitro
The structured organization of connectivity in neural networks is associated with highly
efficient information propagation and processing in the brain, in contrast with disordered …
efficient information propagation and processing in the brain, in contrast with disordered …
Fault tolerance of memristor-based perceptron network for neural interface
S Shchanikov, I Bordanov, A Zuev, S Danilin, D Korolev… - BioNanoScience, 2021 - Springer
One of the most prospective applications of artificial neural networks based on memristors
(ANNMs) is the development of more compact, fast, and efficient neural interfaces. This goal …
(ANNMs) is the development of more compact, fast, and efficient neural interfaces. This goal …
Sparse and specific coding during information transmission between co-cultured dentate gyrus and CA3 hippocampal networks
D Poli, S Thiagarajan, TB DeMarse… - Frontiers in neural …, 2017 - frontiersin.org
To better understand encoding and decoding of stimulus information in two specific
hippocampal sub-regions, we isolated and co-cultured rat primary dentate gyrus (DG) and …
hippocampal sub-regions, we isolated and co-cultured rat primary dentate gyrus (DG) and …
The Profile of Network Spontaneous Activity and Functional Organization Interplay in Hierarchically Connected Modular Neural Networks In Vitro
Modern microtechnology methods are widely used to create neural networks on a chip with
a connection architecture demonstrating properties of modularity and hierarchy similar to …
a connection architecture demonstrating properties of modularity and hierarchy similar to …