Systems Neuroscience
Systems Neuroscience: Key Aspects Systems neuroscience is a branch of neuroscience that focuses on understanding how networks of neurons work together to produce behaviors, sensory processing, motor control, and cognitive…
Neuroscience & AI
Artificial Intelligence (AI) will have a significant impact on the field of neuroscience in several key ways – several of which I have covered in my previous posts. Here’s a…
Neuroscience & AI: ANNs
Artificial Neural Networks (ANNs) are inspired by how our brains function. Just like how our brains have 86 billion neurons that connect and send signals to each other, ANNs are…
Neuroscience & AI: RNNs
What is a Recurrent Neural Network (RNN)? A Recurrent Neural Network (RNN) is a type of artificial neural network used in machine learning and artificial intelligence (AI) to process data…
Neuroscience & AI: CNNs
What is a Convolutional Neural Network (CNN)? A Convolutional Neural Network (CNN) is a type of artificial neural network that excels at processing data with a grid-like structure, such as…
Neuroscience & AI: Reinforcement Learning
What is Reinforcement Learning (RL)? Reinforcement Learning (RL) is a type of machine learning where an agent (a computer program) learns to make decisions by interacting with an environment. Instead…
Neuroscience & AI: Deep Reinforcement Learning
What is Deep Reinforcement Learning? Deep Reinforcement Learning (DRL) is a combination of two powerful techniques in artificial intelligence: deep learning and reinforcement learning. It uses deep neural networks (the…
Neuroscience & AI: Spiking Neural Networks
What is a Spiking Neural Network (SNN)? A Spiking Neural Network (SNN) is a type of artificial neural network that mimics the way biological neurons in the brain communicate. Unlike…