Results 1 to 10 of about 1,932,979 (312)

What Is It like to Be a Brain Organoid? Phenomenal Consciousness in a Biological Neural Network [PDF]

Entropy, 2023
It has been shown that three-dimensional self-assembled multicellular structures derived from human pluripotent stem cells show electrical activity similar to EEG. More recently, neurons were successfully embedded in digital game worlds. The biologically
Ivanna Montoya, Daniel Montoya
doaj   +2 more sources

Engineered Biological Neural Networks on High Density CMOS Microelectrode Arrays

bioRxiv, 2022
In bottom-up neuroscience, questions on neural information processing are addressed by engineering small but reproducible biological neural networks of defined network topology in vitro.
Jens Duru, Joël Küchler, Stephan J. Ihle, Csaba Forró, Aeneas Bernardi, Sophie Girardin, Julian Hengsteler, Stephen M. Wheeler, János Vörös, Tobias Ruff   +9 more
openalex   +2 more sources

FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model. [PDF]

Front Neurosci, 2014
A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented.
Yaghini Bonabi S, Asgharian H, Safari S, Nili Ahmadabadi M.   +3 more
europepmc   +2 more sources

Network Architecture for Intelligent Identification of Faults in Rabbit Farm Environment Monitoring Based on a Biological Neural Network Model. [PDF]

Comput Intell Neurosci, 2022
Zhang H, Qian S.
europepmc   +3 more sources

Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe [PDF]

Frontiers in Computational Neuroscience, 2014
The antennal lobe (AL), olfactory processing center in insects, is able to process stimuli into distinct neural activity patterns, called olfactory neural codes.
Eli eShlizerman, Jeffrey eRiffell, J. Nathan eKutz   +2 more
doaj   +4 more sources

A hybrid biological neural network model for solving problems in cognitive planning. [PDF]

Sci Rep, 2022
Powell H, Winkel M, Hopp AV, Linde H.
europepmc   +3 more sources

A 3D ray traced biological neural network learning model [PDF]

Nature Communications
Training large neural networks on big datasets requires significant computational resources and time. Transfer learning reduces training time by pre-training a base model on one dataset and transferring the knowledge to a new model for another dataset ...
Brosnan Yuen, Xiaodai Dong, Tao Lu
doaj   +2 more sources

Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

BMC Medical Genomics, 2019
Background Understanding the complex biological mechanisms of cancer patient survival using genomic and clinical data is vital, not only to develop new treatments for patients, but also to improve survival prediction.
Jie Hao, Youngsoon Kim, Tejaswini Mallavarapu, Jung Hun Oh, Mingon Kang   +4 more
doaj   +2 more sources

A Comprehensive Quantitative and Biological Neural Network Optimization Model of Sports Industry Structure Based on Knowledge Mapping. [PDF]

Comput Intell Neurosci, 2022
Wang Z, Gao Y, Li W.
europepmc   +3 more sources

Summary statistics of learning link changing neural representations to behavior [PDF]

Frontiers in Neural Circuits
How can we make sense of large-scale recordings of neural activity across learning? Theories of neural network learning with their origins in statistical physics offer a potential answer: for a given task, there are often a small set of summary ...
Jacob A. Zavatone-Veth, Jacob A. Zavatone-Veth, Blake Bordelon, Blake Bordelon, Cengiz Pehlevan, Cengiz Pehlevan, Cengiz Pehlevan   +6 more
doaj   +2 more sources