Understanding how we make decisions is a core challenge in cognitive science. Sequential Sampling Models (SSMs) offer a powerful way to analyze this process by modeling how we accumulate evidence before making a choice. A new Python toolbox called HSSM (for...
ghostipy is an open-source Python toolbox offering a unique suite of signal processing and spectral analysis tools specifically designed for local field potential (LFP) recordings. It was developed by Joshua Chu and Caleb Kemere from the Realtime Neural Engineering...
Spatial cognition paradigms in animal models tend to focus on allocentric means of navigation where animals rely on environmental landmarks. There is a need for spatial cognition paradigms that also take egocentric navigation into account, where an animal’s own point...
Dr. Shuzo Sakata, from the University of Strathclyde, has developed a new tool for classifying animal behaviors. This MATLAB package, called SaLSa, offers an innovative approach to analyzing and categorizing behaviors using pose estimation data. Traditional manual...
Harry Carey and colleagues out of Simon McMullan’s lab at Macquarie University in collaboration with colleagues at the University of Oslo, OpenBench, and University of Sydney, published their open-source tool, DeepSlice, last September. There is a great need for...
