Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...
Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
Abstract: This article provides a secure distributed output feedback model predictive control (DOFMPC) solution for the leader-following consensus problems of homogeneous linear disturbed multi-agent ...
Summary: Researchers resolved a long-standing debate regarding “adaptive efficiency”, how the human brain allocates finite neural energy when processing predictable versus unexpected events. The study ...
Abstract: Recently, recurrent neural networks (RNNs) and the free energy principle (FEP) have been attracting much attention. FEP includes the so-called predictive coding (PC), in which the RNN input ...
“The body keeps the score” has become one of the most recognized phrases in trauma culture (1). It serves as the title for courses, continuing education programs for therapists, and lectures for the ...
The human brain is not a camera that passively reflects information from the outside world. It is a sophisticated 'Prediction Machine' that, locked within the darkness of the skull, relies on signals ...
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