Events
Explore past, ongoing and future KCNhub research through our seminars and lab meetings
Signatures of criticality in efficient coding networks
Internal KCN: The Bitter Lesson, Scaling Laws, and Foundation Model for Neuroscience
From Neuron Classification to Spiking Neural Network Simulations: Testing the textbook hypotheses of neuroscience with data-driven computational models
Explainable Deep Learning for Time Series in Healthcare
Imaging of the brain microvascular network in a mouse model of traumatic brain injury
Internal KCN: Characterizing Evoked Activity Responses to High Frequency Deep Brain Stimulation in the Ventral Intermediate Nucleus
Internal KCN: Closed-Loop Control of Deep Brain Stimulation using Convolutional Neural Networks
Frontostriatal Computations in Learning and Choice: From Motor to Cognitive Decisions
Internal KCN: Dynamics of Neuron-Astrocytes Circuits in Epilepsy
Internal KCN: Biophysically Constrained Generative Algorithm Synthesizing Realistic Astrocytes in silico
Neural Data Science Workshop
The Neural Systems and Brain Signal Processing Lab (NSBSPL), led by KCNhub member, Dr. Milad Lankarany, is pleased to announce the workshop entitled Neural Data Science: Modern Techniques to Analyze and Interpret Electrophysiological Data, which will be held throughout June 13-14th at the Krembil Research Institute (4th floor, Room 4KD503), Toronto, Canada. The goal of the Neural Data Science Workshop is to provide research talks and training sessions focused on modern AI/ML methods which are crucial in analyzing and interpreting high-dimensional electrophysiological data. We hope that this workshop reduces the gap between modern AI/ML techniques and clinical-physiological interpretation of electrophysiological data.
More InfoInternal KCN: Statistical evaluation of single-neuron responses to deep brain stimulation
Internal KCN: Journal Club presentation
This paper will be presented for KCN lab meeting - please plan to take a look ahead of time.
More Info
Collective dynamics of large-scale spiking neural networks by mean-field theory
Internal KCN: Firing Rate Models for Controlling Parkinsonian and Essential Tremor Using Deep Brain Stimulation
Connectomic Deep Brain Stimulation
Impact of microglia-astrocyte communication on neuronal function and survival
Internal KCN: Interneuron contributions to visual processing
Internal KCN: Research update and ws.kcnhub
Astrocyte Complexity in Central Nervous System Health and Disease
Internal KCN: Sharp-wave/ripples in rodents and primates - insights, challenges and ideas
Internal KCN: Exploring theta frequency spiking resonance in oriens-lacunosum/moleculare cells in a two-dimensional structural-kinetic physiological space
Identify a cognitive cerebellum from whole-brain neurodynamics
Internal KCN: Inferring latent brain states from neural and behavioral signals in patients with Parkinson’s disease
Astrocytes: Stars in the Memory Game
Signatures of criticality in efficient coding networks
Internal KCN: The Bitter Lesson, Scaling Laws, and Foundation Model for Neuroscience
From Neuron Classification to Spiking Neural Network Simulations: Testing the textbook hypotheses of neuroscience with data-driven computational models
Explainable Deep Learning for Time Series in Healthcare
Imaging of the brain microvascular network in a mouse model of traumatic brain injury
Internal KCN: Characterizing Evoked Activity Responses to High Frequency Deep Brain Stimulation in the Ventral Intermediate Nucleus
Internal KCN: Closed-Loop Control of Deep Brain Stimulation using Convolutional Neural Networks
Frontostriatal Computations in Learning and Choice: From Motor to Cognitive Decisions
Internal KCN: Dynamics of Neuron-Astrocytes Circuits in Epilepsy
Internal KCN: Biophysically Constrained Generative Algorithm Synthesizing Realistic Astrocytes in silico
Neural Data Science Workshop
The Neural Systems and Brain Signal Processing Lab (NSBSPL), led by KCNhub member, Dr. Milad Lankarany, is pleased to announce the workshop entitled Neural Data Science: Modern Techniques to Analyze and Interpret Electrophysiological Data, which will be held throughout June 13-14th at the Krembil Research Institute (4th floor, Room 4KD503), Toronto, Canada. The goal of the Neural Data Science Workshop is to provide research talks and training sessions focused on modern AI/ML methods which are crucial in analyzing and interpreting high-dimensional electrophysiological data. We hope that this workshop reduces the gap between modern AI/ML techniques and clinical-physiological interpretation of electrophysiological data.
More InfoInternal KCN: Statistical evaluation of single-neuron responses to deep brain stimulation
Internal KCN: Journal Club presentation
This paper will be presented for KCN lab meeting - please plan to take a look ahead of time.
More Info
Collective dynamics of large-scale spiking neural networks by mean-field theory
Internal KCN: Firing Rate Models for Controlling Parkinsonian and Essential Tremor Using Deep Brain Stimulation
Connectomic Deep Brain Stimulation
Impact of microglia-astrocyte communication on neuronal function and survival
Internal KCN: Interneuron contributions to visual processing
Internal KCN: Research update and ws.kcnhub
Astrocyte Complexity in Central Nervous System Health and Disease
Internal KCN: Sharp-wave/ripples in rodents and primates - insights, challenges and ideas
Internal KCN: Exploring theta frequency spiking resonance in oriens-lacunosum/moleculare cells in a two-dimensional structural-kinetic physiological space
Identify a cognitive cerebellum from whole-brain neurodynamics
Internal KCN: Inferring latent brain states from neural and behavioral signals in patients with Parkinson’s disease
Astrocytes: Stars in the Memory Game
For information on KCN Events prior to 2020, please visit our archive.
KCNhub members can access planning and past presentation slides here.