---
name: "NeuroscienceDecision"
description: "In this interview, Professor Tim Hanks discusses topics related to neuroscience, decision making, philosophy, and science as a career. Hanks explores how ideas from computational neuroscience have hel..."
tags: ["decision-making", "computational-neuroscience", "bayesian-brain", "free-will", "mental-health", "attention", "neural-circuits"]
domain: "Genetics & Biomedical"
citation: "Timothy Hanks, Alexandra Mikhailova, Daniel A. Friedman (2020). *NeuroscienceDecision*. Genetics & Biomedical."
---

# NeuroscienceDecision

**Timothy Hanks, Alexandra Mikhailova, Daniel A. Friedman** (2020) · Genetics & Biomedical

## Context

This work addresses topics in **Genetics & Biomedical**: decision making, computational neuroscience, Bayesian brain, free will.

## Methods

Primary methods and techniques applied in this work:

- Genomic and bioinformatic analysis
- Statistical genetics

## Key Findings

Core contributions and results:

- In this interview, Professor Tim Hanks discusses topics related to neuroscience, decision making, philosophy, and science as a career..
- Hanks explores how ideas from computational neuroscience have hel....

## Related Works

- [2015_CryptoJews](../2015_CryptoJews/)
- [2015_EhrlichialInfection](../2015_EhrlichialInfection/)
- [2015_HoneyBeeEvolution](../2015_HoneyBeeEvolution/)

## Validation

Verification points for this work:

- DOI: Not assigned
- PDF SHA-256: See zenodo_record
- Pairing confidence: unknown
- Last checked: 2026-07-01T20:50:01Z

## Prerequisites

- Familiarity with decision making, computational neuroscience, Bayesian brain
- Background in Genetics & Biomedical fundamentals
- Access to source repository: N/A

## Instructions

When working with this paper:

1. Use the canonical citation above.
2. Apply methods listed in the Methods section for related analysis.
3. Validate findings against the original PDF and metadata.