Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Decision-Making in Systems Neuroscience: Neural Dynamics and Algorithms
Graph Chatbot
Related lectures (36)
Brain Intelligence: Continual Learning of Representational Models
Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.
Decisions, actions, volition
MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores decision models in computational neuroscience, focusing on competitive dynamics, perceptual decision making, and the problem of free will.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Surprise, Curiosity and Reward: An Evolutionary Perspective
Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.
Introduction to synaptic plasticity
MOOC: Simulating a hippocampus micro-circuit
Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.
Scientific Computing in Neuroscience
Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.
Neuroscience: Behavioral Analysis
Explores neuroscience through behavior analysis, focusing on pose estimation and motor control studies.
Expertise in Projects
Explores the differences between experts and novices in project management and the development of expertise through practical experiences.
Controlling Behavior in Animals and Robots
Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.
Motor Neuroprosthetics: Brain-Machine Interfaces
Explores Brain-Machine Interfaces for motor control and communication using neural signals.
Theories and Approaches to Learning
Explores learning theories in project contexts to improve learning approaches and outcomes.
MathDetour 1: Separation of time scales
MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons
Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.
Spike-Timing Models of plasticity
MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.
Sensory learning with neural networks
Explores sensory representations, perception, memory, cognitive control, and neural networks.
Sensory input and motor output
Delves into touch-sensitive regions representation in the brain and the generation of movements.
Generalized Integrate-and-Fire Models
MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons
Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.
Cognitive Processes: Learning and Thinking
Covers teaching approaches, cognitive processes, and learning strategies, including left-brain thinking, concept mapping, and cooperative learning significance.
Introduction to Systems Neuroscience: Memory Systems Overview
Log in to Mediaspace to watch this video
Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.
Data-Driven Modeling in Neuroscience: Meenakshi Khosla
Log in to Mediaspace to watch this video
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Brain-Computer Interfaces: Advancements in Systems Neuroscience
Log in to Mediaspace to watch this video
Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.
Previous
Page 1 of 2
Next