Medicine & Life Sciences
Neurons
100%
Decision Making
68%
Retinal Ganglion Cells
48%
Macaca
42%
Neurosciences
34%
Population
30%
Statistical Models
29%
Parietal Lobe
27%
Linear Models
27%
Brain
26%
Bayes Theorem
26%
Visual Cortex
26%
Primates
21%
Datasets
21%
Problem-Based Learning
19%
Neurophysiology
18%
Noise
18%
Markov Chains
18%
Artifacts
17%
Likelihood Functions
16%
Nonlinear Dynamics
15%
Direction compound
15%
Prefrontal Cortex
14%
Calcium
13%
Statistics
13%
Magnetic Resonance Imaging
13%
Memory
13%
Elephants
12%
Psychophysics
12%
Monte Carlo Method
11%
Photons
11%
Callithrix
10%
Computer Neural Networks
10%
Meridians
10%
Sensory Receptor Cells
10%
History
10%
Behavior Control
10%
Fluorescence
9%
Architectural Accessibility
9%
Normal Distribution
9%
Psychometrics
9%
Music
9%
Motion Perception
8%
Locomotion
8%
Rodentia
8%
Corpus Striatum
7%
Short-Term Memory
7%
Nucleus Accumbens
7%
Dissection
7%
Light
6%
Animals
6%
Microscopy
6%
Anatomy
6%
Social Behavior
6%
Signal-To-Noise Ratio
6%
Poisson Distribution
6%
Cognition
5%
Cues
5%
Animal Behavior
5%
Visual Pathways
5%
Statistical Data Interpretation
5%
Engineering & Materials Science
Neurons
95%
Imaging techniques
32%
Entropy
31%
Animals
29%
Brain
28%
Dimensionality reduction
28%
Polynomial approximation
21%
Problem-Based Learning
20%
Markov chains
14%
Functional neuroimaging
14%
Decision making
13%
Fluorophores
13%
Maximum likelihood
13%
Fires
12%
Tuning
11%
Statistics
10%
Neuroimaging
10%
Odors
10%
Deep neural networks
9%
Photons
9%
Maximum likelihood estimation
9%
Fluorescence
9%
Rats
9%
Sampling
9%
White noise
8%
Factor analysis
8%
Statistical Models
8%
Convex optimization
8%
Covariance matrix
8%
Linear regression
8%
Networks (circuits)
8%
Refining
7%
Uncertainty
7%
Experiments
7%
Typesetting
6%
Signal to noise ratio
6%
Random variables
6%
Polynomials
6%
Flickering
5%
Computational neuroscience
5%
Magnetic Resonance Imaging
5%
Computer simulation
5%
Cones
5%
Mathematics
Likelihood
21%
Dimensionality Reduction
21%
Spike
18%
Imaging
18%
Neuron
15%
Structure Learning
12%
Receptive Field
12%
Discrete Data
12%
Bayesian Learning
12%
Fluorescence
11%
Neuroimaging
11%
Equivalence
11%
Factor Models
10%
Bayesian Estimator
10%
Bayesian Methods
10%
Estimator
10%
Gaussian Process
9%
Mutual Information
9%
Count Data
9%
Process Model
9%
Discrete Distributions
8%
Polynomial Approximation
8%
Siméon Denis Poisson
8%
Framework
8%
Decision Making
8%
Relevance
7%
Entropy
7%
Motion
7%
Brain
7%
Similarity
6%
Dependent
6%
State Space
6%
Factor Analysis
6%
Countable
6%
Locality
6%
Sparsity
6%
Regression
6%
Model
6%
Modeling
5%
Laplace Approximation
5%
Estimate
5%
