Publications by authors named "Tonio Weidler"
Article Synopsis
- The Modular-Integrative Modeling approach is a new framework in neuroscience designed to create brain models that accurately reflect biological processes.
- It aims to combine realistic biological elements with functional performance, offering a comprehensive understanding of how the brain interacts with the body and environment.
- This perspective emphasizes the importance of integrating different aspects of brain function for a better overall view of neuroscience.
AngoraPy: A Python toolkit for modeling anthropomorphic goal-driven sensorimotor systems.
Front Neuroinform
December 2023
Goal-driven deep learning increasingly supplements classical modeling approaches in computational neuroscience. The strength of deep neural networks as models of the brain lies in their ability to autonomously learn the connectivity required to solve complex and ecologically valid tasks, obviating the need for hand-engineered or hypothesis-driven connectivity patterns. Consequently, goal-driven models can generate hypotheses about the neurocomputations underlying cortical processing that are grounded in macro- and mesoscopic anatomical properties of the network's biological counterpart.
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