Jeffrey M. Beck

Weber's law and natural inference

The paper argues that Weber's law arises from natural sensory input statistics rather than neuronal noise, and explains log-normal tuning curves in vivo.

Why sensory neurons are tuned to multiple stimulus features

The paper shows that multidimensional sensory neuron tuning improves stimulus reconstruction, termed 'stimulus synergy', which is preserved in downstream motor behavior.

Properties of decision-making tasks govern the tradeoff between model-based and model-free learning

This study investigates how task properties influence the balance between model-based and model-free learning strategies in decision-making tasks.

Separable codes for read-out of mouse primary visual cortex across attentional states

The paper investigates how attention modulates decoding of visual and auditory choices from primary visual cortex in mice, finding that choice decoding is modality-specific and impaired when attention is directed away from the modality.

Neuronal adaptation reveals a suboptimal decoding of orientation tuned populations in the mouse visual cortex

The paper shows that neuronal adaptation in the mouse visual cortex leads to suboptimal orientation discrimination by failing to discount distractor-preferred neurons.

Statistical structure of locomotion and its modulation by odors

This study uses a Hierarchical Hidden Markov Model to analyze fruit fly locomotion, showing that odors modulate behavior by altering the use of locomotor features, with individual flies forming distinct clusters.

Striatal fast-spiking interneurons drive habitual behavior

This study identifies fast-spiking interneurons in the striatum as key drivers of habitual behavior through circuit-level modulation of spiny projection neurons.