Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Gemini is an AI chatbot you can message over text or talk to with your voice, like Microsoft Copilot or ChatGPT. You can use ...

A small brain region reacts strongly to chimp calls. This shows that our voice system links to older primate signals.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Abstract: Due to the computational resource consumption of the decoding module and the impact of a noisy environment on speech recognition system, this paper designs a real-time multi-stage speech ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...