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The Rising Potential of Deep Neural Networks in Mimicking Brain Responses to Auditory Stimuli
BySonal Keni December 18, 2023January 11, 2024

One of the primary challenges contemporary neuroscience researchers face is building a successful and accurate computational model of the various sensory systems in the body. Such a model could, in theory, replicate the outputs produced by these biological sensory systems when given identical stimuli and could help improve our understanding of how the brain functions…

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AI | Bioinformatics | Computational Models | Deep Learning | Neural Network | News | Paper Summary

IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks
ByTanveen Kaur April 10, 2022November 9, 2022

The IBM Research – Zurich, scientists proposed a novel biologically-inspired optimizer for artificial and spiking neural networks that consolidate key standards of synaptic plasticity seen in cortical dendrites: GRAPES (Group Responsibility for Adjusting the Propagation of Error Signals). The findings pave the way for researchers to bridge the gap between backpropagation and biologically plausible learning…

Read More IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with Artificial Intelligence Enabled ‘Deep Docking’
BySwati Yadav February 9, 2022October 22, 2026

Deep Docking (DD) is artificial intelligence (AI) driven method that provides very economical yet highly reliable access to ultra-large docking. It was developed by Scientists at the University of British Columbia, Vancouver, to address the global lack of computational docking power and to enable structure-based screening of chemical libraries having billions of molecules without using…

Read More Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with Artificial Intelligence Enabled ‘Deep Docking’

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IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks

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