MCell4 with BioNetGen: A Monte Carlo Simulator of Rule-Based Reaction-Diffusion Systems with Python Interface

Posted by klaurent UCSD / Salk

Kavli Affiliate: Terrence Sejnowski | Authors: Adam Husar, Mariam Ordyan, Guadalupe C Garcia, Joel G Yancey, Ali S Saglam, James Faeder, Thomas M Bartol, Jr., Mary B Kennedy and Terrence J Sejnowski | Summary: Biochemical signaling pathways in living cells are often highly organized into spatially segregated volumes, membranes, scaffolds, subcellular compartments, and organelles comprising […]


Continue.. MCell4 with BioNetGen: A Monte Carlo Simulator of Rule-Based Reaction-Diffusion Systems with Python Interface

Acetylcholine signaling in the medial prefrontal cortex mediates the ability to learn an active avoidance response following learned helplessness training

Posted by klaurent Yale

Kavli Affiliate: Marina Picciotto | Authors: Zuhair I Abdulla, Yann S Mineur, Richard B Crouse, Ian M Etherington, Hanna Yousuf, Jessica J Na and Marina R Picciotto | Summary: Increased brain levels of acetylcholine (ACh) are observed in subsets of patients with depression and increasing ACh levels chronically can precipitate stress-related behaviors in humans and […]


Continue.. Acetylcholine signaling in the medial prefrontal cortex mediates the ability to learn an active avoidance response following learned helplessness training

Perisaccadic and Attentional Remapping of Receptive Fields in Lateral Intraparietal Area and Frontal Eye Fields

Posted by klaurent Columbia

Kavli Affiliate: Michael Goldberg | Authors: Xiao Wang, Cong Zhang, Lin Yang, Min Jin, Michael E Goldberg, Mingsha Zhang and Ning Qian | Summary: The nature and function of perisaccadic receptive-field (RF) remapping have been controversial. We used a delayed saccade task to reduce previous confounds and examined the remapping time course in areas LIP […]


Continue.. Perisaccadic and Attentional Remapping of Receptive Fields in Lateral Intraparietal Area and Frontal Eye Fields

Automatic monitoring of whole-body neural activity in behaving Hydra

Posted by klaurent Columbia

Kavli Affiliate: Rafael Yuste | Authors: Alison Hanson, Raphael Reme, Noah Telerman, Wataru Yamamoto, Jean-Christophe Olivo-Marin, Thibault Lagache and Rafael Yuste | Summary: The ability to record every spike from every neuron in a behaving animal is one of the holy grails of neuroscience. Here, we report coming one step closer towards this goal with […]


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Predicting Long and Short Duration Beta Bursts from Subthalamic Nucleus Local Field Potential Activity in Parkinson’s Disease

Posted by klaurent UCSF

Kavli Affiliate: Philip Starr | Authors: Bahman Abdi-Sargezeh, Sepehr Shirani, Abhinav Sharma, Philip Starr, Simon Little and Ashwini Oswal | Summary: Neural activities within the beta frequency range (13-30 Hz) are not stationary, but occur in transient packets known as beta bursts. Parkinson’s disease (PD) is characterized by the occurrence of beta bursts of increased […]


Continue.. Predicting Long and Short Duration Beta Bursts from Subthalamic Nucleus Local Field Potential Activity in Parkinson’s Disease

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Hanyun Yin, Heng Huang, Wei Gao, | Summary: Fine-tuning is the most effective way of adapting pre-trained large language models (LLMs) to downstream applications. With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but […]


Continue.. Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Hanyun Yin, Heng Huang, Wei Gao, | Summary: Fine-tuning is the most effective way of adapting pre-trained large language models (LLMs) to downstream applications. With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but […]


Continue.. Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Deep Learning with Photonic Neural Cellular Automata

Posted by Caltech

Kavli Affiliate: Alireza Marandi | First 5 Authors: Gordon H. Y. Li, Christian R. Leefmans, James Williams, Robert M. Gray, Midya Parto | Summary: Rapid advancements in deep learning over the past decade have fueled an insatiable demand for efficient and scalable hardware. Photonics offers a promising solution by leveraging the unique properties of light. […]


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Exact coherent structures in two-dimensional turbulence identified with convolutional autoencoders

Posted by klaurent Harvard

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Jacob Page, Joe Holey, Michael P. Brenner, Rich R. Kerswell, | Summary: Convolutional autoencoders are used to deconstruct the changing dynamics of two-dimensional Kolmogorov flow as $Re$ is increased from weakly chaotic flow at $Re=40$ to a chaotic state dominated by a domain-filling vortex pair at […]


Continue.. Exact coherent structures in two-dimensional turbulence identified with convolutional autoencoders

mixed attention auto encoder for multi-class industrial anomaly detection

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Jiangqi Liu, Feng Wang, , , | Summary: Most existing methods for unsupervised industrial anomaly detection train a separate model for each object category. This kind of approach can easily capture the category-specific feature distributions, but results in high storage cost and low training efficiency. In this […]


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