Tiago Branco

The paper identifies a mechanism in the dorsal periaqueductal gray (dPAG) neurons that enables fast and reliable escape responses through high intrinsic excitability.

The paper shows that presynaptic temporal dynamics determine input weights in mouse escape circuit neurons, enabling flexible decision-making during threat.

This study identifies VGAT+ neurons in the dPAG that modulate escape behavior by tonically controlling excitatory neurons during threat response.

This study shows mice use action-driven exploration to learn subgoal locations and integrate them into spatial memory.

This paper identifies a cortico-collicular circuit in mice that encodes shelter direction and is essential for accurate orientation during escape.

This paper introduces a method using differential geometry to construct recurrent neural networks with dynamics targeted to a specific manifold, improving the design of task-solving neural dynamics.

This paper shows mice use innate heuristics and fast spatial learning to select optimal escape routes without prior experience of escaping.

The paper develops open-source Python tools for accurately mapping the location of dye-labelled probes and fluorescent cells in whole-brain microscopy images.

This study identifies that vestibular inputs dominate angular head velocity coding in the retrosplenial cortex, while visual input enhances its accuracy during navigation.

This study shows mice use subgoal memorization to learn multi-step routes, a strategy distinct from standard spatial learning models.

Brainrender is a Python package for interactive visualization of anatomically registered brain data, enabling seamless integration of diverse datasets and atlases.

The paper develops a method to model dendritic computations in neurons under in vivo-like conditions and finds that a single global non-linearity captures most of the somatic response.

The paper shows that escape decisions in mice are computed via a synaptic threshold mechanism involving mSC and dPAG neurons.

This study shows that mice can rapidly update their instinctive defensive behaviors based on spatial learning, switching strategies like escape to freezing when environments change.