Simulation results with a bimodal basis function.

Slides:



Advertisements
Similar presentations
Multiplying Decimals 1. Multiply 2. Move the decimal.
Advertisements

Bayesian inference of normal distribution
Section 2.1 Visualizing Distributions: Shape, Center and Spread.
Quantifying Generalization from Trial-by-Trial Behavior in Reaching Movement Dan Liu Natural Computation Group Cognitive Science Department, UCSD March,
Probability Distributions
Figure 1.1 The observer in the truck sees the ball move in a vertical path when thrown upward. (b) The Earth observer views the path of the ball as a parabola.
FROM CONCRETE TO ABSTRACT Basic Skills Analysis Hypothesis Proof Elementary Matrices and Geometrical Transformations for Linear Algebra Helena Mirtova.
ECE 8443 – Pattern Recognition LECTURE 03: GAUSSIAN CLASSIFIERS Objectives: Normal Distributions Whitening Transformations Linear Discriminants Resources.
MAS2317 Presentation Jake McGlen. Assuming vague prior knowledge, obtain the posterior distribution for µ and hence construct a 95% Bayesian confidence.
An Introduction to Kalman Filtering by Arthur Pece
Dilations in the Coordinate Plane
Integrated Math 2 Lesson #19 Transformations - Dilation Mrs. Goodman
2.7: Use Absolute Value Functions and Transformations HW Monday: p.127 (4-20 even) Test , 2.7: Friday.
Histograms. Histograms have some similar characteristics as other graphical representations... Shape: Left skewed, right skewed, symmetric, unimodal,
= the matrix for T relative to the standard basis is a basis for R 2. B is the matrix for T relative to To find B, complete:
YEAR 11 MATHS REVISION Transformations.
4.3 Matrix of Linear Transformations y RS T R ′S ′ T ′ x.
1. Multiply 2. Move the decimal
Types of variables Discrete VS Continuous Discrete Continuous
Authors: Peter W. Battaglia, Robert A. Jacobs, and Richard N. Aslin
Warm Up – Tuesday, August 19th
Displaying Data with Graphs
Analyzing Redistribution Matrix with Wavelet
Physics-based simulation for visual computing applications
Warm Up:.
Joshua D. Salvi, Dáibhid Ó Maoiléidigh, A.J. Hudspeth 
The Shape and Spread of Data
Displaying Distributions – Quantitative Variables
RIA mediates directional head withdrawal.
Hierarchical empirical Bayesian inference on group effects using the function spm_dcm_peb. Hierarchical empirical Bayesian inference on group effects using.
Confidence as Bayesian Probability: From Neural Origins to Behavior
A Switching Observer for Human Perceptual Estimation
Figure 1 Waveforms of example stimuli illustrating how within-individual variation was manipulated. Invariant signals ... Figure 1 Waveforms of example.
Sean A. McKinney, Chirlmin Joo, Taekjip Ha  Biophysical Journal 
Contrast Adaptation and Representation in Human Early Visual Cortex
Incidence and spatial extent of epileptiform events observed in widefield calcium imaging. Incidence and spatial extent of epileptiform events observed.
A Switching Observer for Human Perceptual Estimation
Active avoidance is impaired in aged mice in both multimodal and visual versions of the task. Active avoidance is impaired in aged mice in both multimodal.
Elementary statistics, bluman
Determining the Function Obtained from a Series of Transformations.
Implicit adaptation generalizes around the aiming location (30° CCW)
Warm Up:.
Demonstration of the value of a Bayesian approach when interpreting a single experiment. Demonstration of the value of a Bayesian approach when interpreting.
Images obtained in a 67-year-old woman with posttreatment glioblastoma who had ETP. Contrast-enhanced, T1-weighted imaging (A) performed 4 weeks after.
Psychophysics results: psychometric functions, visual weights and audiovisual variances. Psychophysics results: psychometric functions, visual weights.
Data simulation using the routine spm_MDP_VB.
Warm Up 4/30 What are you thankful for?
Sequences of two isoforms of Arhgap39/Porf-2 protein in mouse.
Incorporation of possible secondary effects of DA depletion into the model. Incorporation of possible secondary effects of DA depletion into the model.
Spatial statistics of X-ray volumes reveal layering and spatially diverse distribution of cell bodies. Spatial statistics of X-ray volumes reveal layering.
A, Rewarded voluntary switch task, a combined risky decision-making and task-switching paradigm. A, Rewarded voluntary switch task, a combined risky decision-making.
Western blot analysis of α-Syn-BAC-Tg/GBA-hetero-KO mice at multiple time points. Western blot analysis of α-Syn-BAC-Tg/GBA-hetero-KO mice at multiple.
Log10-transformed EEG power in the 0- to 30-Hz range measured in females (white) and males (gray) at each channel for NFB (left) and CAL (right), shown.
The Fisher information predicts the experimentally measured sensitivity. The Fisher information predicts the experimentally measured sensitivity. A, Sensitivity.
Effects of MPH on 19 single neuron response metrics.
Template application to detect KC-like activity.
HFOs resulting from noisy input to pyramidal cell population.
No difference in the properties of mEPSCs of DGCs recorded in brain slices obtained from PBS-injected (control) and TMEV-infected mice during the acute.
TeNT did not affect lysosome fusion.
Closed-loop experiments to probe the range of stimulus sensitivity.
Effect of consecutive wins or losses on choice: test for reinforcement learning. Effect of consecutive wins or losses on choice: test for reinforcement.
Intellicount recapitulates analysis of synaptogenesis over time in cultured hippocampal neurons. Intellicount recapitulates analysis of synaptogenesis.
Pattern decoding probabilities for the different conditions and time points. a, Mean ±SEM decoding probabilities in occipitotemporal cortex across subjects.
Localization behavior in ITD-alone condition and head turn analysis.
Power spectra of EMG during the pre- and post-feedback sessions.
Fig. 6 Structural basis for the constitutive activity of US28.
Grand-averaged ERPs across (A) left hemisphere electrodes (P5, P7, P9, PO3, PO7, and O1) and (B) right hemisphere electrodes (P6, P8, P10, PO4, PO8, and.
Seizure propagation across the whole-brain.
Plasmid DNA itself elicits microglial response via TLR9.
Dilations A dilation is a transformation that changes the size but not the shape of an object or figure. Every dilation has a fixed point that is called.
Presentation transcript:

Simulation results with a bimodal basis function. Simulation results with a bimodal basis function. A, Depiction of eight channel basis functions, each one with two peaks positioned ∼67° apart. To facilitate visualization, the center channel (cyan) is plotted in a thicker line. The channels are obtained by multiplying the original channels (Fig. 1) with a matrix that transforms the unimodal to a bimodal shape. B, Channel response functions derived by the inverted encoding model at high noise (left panel) and low noise (right panel) levels. C, Posterior probability of the stimulus derived by the Bayesian approach at high noise (left panel) and low noise (right panel) levels. Justin L. Gardner, and Taosheng Liu eNeuro 2019;6:ENEURO.0363-18.2019 ©2019 by Society for Neuroscience