Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Neuropsychiatric Disorders

Posted by klaurent UCSD / Salk

Kavli Affiliate: Fred Gage, Terrence Sejnowski | Authors: Thodoros Bermperidis, Simon Schafer, Fred H. Gage, Terrence Sejnowski and Elizabeth B Torres | Summary: The advent of open access to genomic data offers new opportunities to revisit old clinical debates while approaching them from a different angle. We examine anew the question of whether psychiatric and […]


Continue.. Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Neuropsychiatric Disorders

Widespread ripples synchronize human cortical activity during sleep, waking, and memory recall

Posted by klaurent UCSD / Salk

Kavli Affiliate: Eric Halgren | Authors: Charles W Dickey, Ilya A Verzhbinsky, Xi Jiang, Burke Q Rosen, Sophie Kajfez, Brittany Stedelin, Jerry J Shih, Sharona Ben-Haim, Ahmed M Raslan, Emad N Eskandar, Jorge Gonzalez-Martinez, Sydney S Cash and Eric Halgren | Summary: Declarative memory encoding, consolidation, and retrieval require the integration of elements encoded in […]


Continue.. Widespread ripples synchronize human cortical activity during sleep, waking, and memory recall

Fault-Tolerant Neural Networks from Biological Error Correction Codes

Posted by dbos MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Ila R. Fiete, Max Tegmark | Summary: It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the grid cells of the mammalian cortex, […]


Continue.. Fault-Tolerant Neural Networks from Biological Error Correction Codes

Biological error correction codes generate fault-tolerant neural networks

Posted by klaurent MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang | Summary: It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the mammalian cortex, analog error correction codes […]


Continue.. Biological error correction codes generate fault-tolerant neural networks

The incentive circuit: memory dynamics in the mushroom body of Drosophila melanogaster

Posted by klaurent Yale

Kavli Affiliate: Michael Nitabach | Authors: Evripidis Gkanias, Li Yan McCurdy, Michael N Nitabach and Barbara Webb | Summary: Insects adapt their response to stimuli, such as odours, according to their pairing with positive or negative reinforcements, such as sugar or shock. Recent electrophysiological and imaging findings in Drosophila melanogaster allow detailed examination of the […]


Continue.. The incentive circuit: memory dynamics in the mushroom body of Drosophila melanogaster

Dynamic Synchronization between Hippocampal Spatial Representations and the Stepping Rhythm

Posted by klaurent UCSF

Kavli Affiliate: Loren Frank | Authors: Abhilasha Joshi, Eric L. Denovellis, Abhijith Mankili, Yagiz Meneksedag, Thomas Davidson, Anna K Gillespie, Jennifer Ann Guidera, Demetris Roumis and Loren M. Frank | Summary: The hippocampus is a vertebrate brain structure that expresses spatial representations1 and is critical for navigation2,3. Navigation in turn intricately depends on locomotion; however, […]


Continue.. Dynamic Synchronization between Hippocampal Spatial Representations and the Stepping Rhythm

Cyclic, condition-independent activity in primary motor cortex predicts corrective movement behavior

Posted by klaurent Hopkins

Kavli Affiliate: Sridevi Sarma | Authors: Adam G Rouse, Marc H Schieber and Sridevi V Sarma | Summary: Reaching movements are known to have large condition-independent neural activity and cyclic neural dynamics. A new precision center-out task was performed by rhesus macaques to test the hypothesis that cyclic, condition-independent neural activity in the primary motor […]


Continue.. Cyclic, condition-independent activity in primary motor cortex predicts corrective movement behavior

Reduced Dimension, Biophysical Neuron Models Constructed From Observed Data

Posted by klaurent UCSD / Salk

Kavli Affiliate: Henry Abarbanel | Authors: Randall E Clark, Lawson Fuller, Jason A Platt and Henry Abarbanel | Summary: Using methods from nonlinear dynamics and interpolation techniques from applied mathematics, we show how to use data alone to construct discrete time dynamical rules that forecast observed neuron properties. These data may come from from simulations […]


Continue.. Reduced Dimension, Biophysical Neuron Models Constructed From Observed Data

Context-Hierarchy Inverse Reinforcement Learning

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, David Hsu, Wee Sun Lee, , | Summary: An inverse reinforcement learning (IRL) agent learns to act intelligently by observing expert demonstrations and learning the expert’s underlying reward function. Although learning the reward functions from demonstrations has achieved great success in various tasks, several other […]


Continue.. Context-Hierarchy Inverse Reinforcement Learning

On The Design of a Light-weight FPGA Programming Framework for Graph Applications

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jinyang Guo, Chao Li, , | Summary: FPGA accelerators designed for graph processing are gaining popularity. Domain Specific Language (DSL) frameworks for graph processing can reduce the programming complexity and development cost of algorithm design. However, accelerator-specific development requires certain technical expertise and significant effort […]


Continue.. On The Design of a Light-weight FPGA Programming Framework for Graph Applications