Shiva Ghaani Farashahi

A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment

The paper proposes a linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment, explaining how dopamine neurons modulate synaptic plasticity.

Neural mechanisms of distributed value representations and learning strategies

The paper investigates neural mechanisms of value representations and learning strategies in humans using a multi-dimensional task and RNNs, revealing a distributed code and role of inhibitory/excitatory neurons.

Coordinated drift of receptive fields during noisy representation learning

The paper investigates representational drift in neural networks, showing that noisy synaptic updates cause coordinated random walks in receptive fields while maintaining population code stability.

Influence of learning strategy on response time during complex value-based learning and choice

This study shows that response time patterns reflect learning strategies and reward value construction during complex decision-making tasks.

On the flexibility of basic risk attitudes in monkeys

This study shows that monkeys exhibit flexible risk attitudes, with varying utility and probability weighting functions across tasks, suggesting dynamic construction of reward value rather than fixed traits.

Dynamic combination of sensory and reward information under time pressure

This study investigates how time pressure affects decision-making by comparing sensory integration and dynamic combination of sensory and reward information in humans.

Your favorite color makes learning more precise and adaptable

The paper shows humans use feature-based learning in dynamic environments and switch to option-based learning when features predict object values accurately.