A BIOLOGICAL NEURAL NETWORK FOR ROBOTIC CONTROL - Towards a Human Neuroprocessor

2009 ◽  
Keyword(s):  
Neural Network ◽  
Robotic Control ◽  
Biological Neural Network

CAJAL - 91: A Biological Neural Network Simulator

1993 ◽  
pp. 103-111
Author(s):  
Edward K. Blum ◽  
Peyvand M. Khademi ◽  
Kevin Chau ◽  
Patrick Leung ◽  
Xin Wang
Keyword(s):  
Neural Network ◽  
Network Simulator ◽  
Biological Neural Network

scholarly journals Real-time Hand-Gesture Recognition based on Deep Neural Network

2021 ◽  
Vol 102 ◽  
pp. 04009
Author(s):  
Naoto Ageishi ◽  
Fukuchi Tomohide ◽  
Abderazek Ben Abdallah
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Gesture Recognition ◽  
Deep Neural Network ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Robotic Control ◽  
Driver Assistance Systems ◽  
Fast Classification

Hand gestures are a kind of nonverbal communication in which visible bodily actions are used to communicate important messages. Recently, hand gesture recognition has received significant attention from the research community for various applications, including advanced driver assistance systems, prosthetic, and robotic control. Therefore, accurate and fast classification of hand gesture is required. In this research, we created a deep neural network as the first step to develop a real-time camera-only hand gesture recognition system without electroencephalogram (EEG) signals. We present the system software architecture in a fair amount of details. The proposed system was able to recognize hand signs with an accuracy of 97.31%.

The Inter-Human Cortex

2021 ◽  
pp. 102-112
Author(s):  
John Matthias
Keyword(s):  
Neural Network ◽  
Human Brain ◽  
Sound Art ◽  
Human Cortex ◽  
Biological Neural Network ◽  
Physical Network ◽  
Human Culture ◽  
Art Installation

This chapter outlines a theory of co-evolution of contexts and histories in human culture by making an analogy with the microscopic functionality of the human brain, and in particular Eugene Izhikevich’s idea of polychronization by mapping the network of ‘firing’ events in a biological neural network onto a network of ‘human events’ in the physical network of humans. The article utilizes the new theory to focus on the evolution of sound art by pointing to the multiplicity of origin contexts, and it examines a particular example of sound art installation, The Fragmented Orchestra (Jane Grant, John Matthias, and Nick Ryan) to exemplify the theory of the inter-human cortex.

Bursting as a source for predictability in biological neural network activity

1997 ◽  
Vol 110 (3-4) ◽  
pp. 323-331 ◽  
Author(s):  
L. Menendez de la Prida ◽  
N. Stollenwerk ◽  
J.V. Sanchez-Andres
Keyword(s):  
Neural Network ◽  
Network Activity ◽  
Biological Neural Network
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