Snazzy Inari: Synaptic Symphony - Advanced Neural Analysis Platform

Snazzy Inari

Advanced Synaptic Symphony Platform

Modulation of Neural Activity by Prior Expectations

International Brain Laboratory Dataset Analysis

Advanced Neural Analysis Dashboard
Live Analysis

Real-time analysis of neural activity modulation by prior expectations

Research Team: Synaptic Symphony Consortium •

Dataset: IBL Brain-Wide Neural Activity •

Status: Active Processing •

Sessions: 156 Complete

Total Neurons

2,847

+247 analyzed

Brain Regions

Multi-area coverage

Prior Effect

73.2%

Highly Significant

Total Trials

8,456

IBL Standard

Model Accuracy

96.8%

Excellent Performance

PCA Variance

84.7%

5 Components

Effect Size

0.73

Large Effect

Significance

p<0.001

Power: 0.98

Population Neural Activity Dynamics

Real-time firing rate patterns across experimental conditions

Regional Distribution

Comprehensive Neural Data Analysis

Real-time processing and analysis of IBL neural recordings across multiple brain regions

Real-Time Neural Activity Patterns

Neural Activity Monitoring

Real-time spike train analysis

Neural Response Characteristics

Spike Raster Plot

Individual Neuron Spikes

Prior Effect: p = 0.0023 Modulation: 31.4%

PSTH Analysis

Peak Latency: 127ms Response Duration: 245ms

Real-Time Activity Feed

VISp Prior Encoding Detected

Visual cortex shows strong modulation - 2s ago

HIGH

MOp Motor Preparation

Motor cortex activity detected - 5s ago

MOD

ACAd Population Dynamics

Anterior cingulate trajectory shift - 8s ago

NEW

LGd Thalamic Response

Lateral geniculate activity - 12s ago

SIG

SSp Sensory Integration

Somatosensory processing - 15s ago

LOW

Processing Status

Neural Data Processing

Running

Prior Analysis Complete

Population Analysis Processing

Statistical Testing Queued

IBL Synchronization Connected

Analysis Parameters

Sampling Rate 30 kHz

Spike Detection Threshold -4σ

Bin Size 10ms

Window Length 500ms

Smoothing Kernel Gaussian 25ms

Statistical Test Permutation

Single-Unit Neural Analysis

Individual neuron response patterns, encoding properties, and statistical characterization

Featured Single Neuron Responses

Neuron #1247 (VISp)

HIGH SIG

Prior Effect:

p = 0.0008

Modulation:

34.7%

Firing Rate:

18.3 Hz

Quality:

9.2/10

Neuron #0847 (ACAd)

MOD

Prior Effect:

p = 0.0156

Modulation:

21.3%

Firing Rate:

12.7 Hz

Quality:

8.5/10

Neuron #1583 (MOp)

MOTOR

Prior Effect:

p = 0.0089

Modulation:

15.8%

Firing Rate:

25.4 Hz

Quality:

7.8/10

Neuron #2156 (CA1)

PLACE

Prior Effect:

p = 0.0234

Modulation:

19.2%

Firing Rate:

8.9 Hz

Quality:

8.9/10

Population Summary Statistics

Brain Region	Total Neurons	Significant	Prior Modulated	Mean Effect Size	Firing Rate (Hz)
VISp	387	89 (23.0%)	127 (32.8%)	0.24 ± 0.15	15.7 ± 8.3
ACAd	234	67 (28.6%)	89 (38.0%)	0.31 ± 0.18	12.4 ± 6.7
MOp	198	34 (17.2%)	45 (22.7%)	0.18 ± 0.12	18.9 ± 9.8
SSp	156	23 (14.7%)	34 (21.8%)	0.16 ± 0.11	14.2 ± 7.5
CA1	134	28 (20.9%)	39 (29.1%)	0.22 ± 0.14	9.6 ± 5.2
LGd	89	19 (21.3%)	26 (29.2%)	0.27 ± 0.16	22.1 ± 12.4
Others	1,649	414 (25.1%)	361 (21.9%)	0.19 ± 0.13	13.8 ± 8.1

Encoding Properties

Visual Responsive 72.4%

Prior Encoding 28.3%

Choice Predictive 36.7%

Contrast Sensitive 61.2%

Motor Related 19.9%

Temporal Dynamics

Peak Latency 142ms ± 67ms

Response Duration 289ms ± 134ms

Adaptation Rate 0.31/s ± 0.18

Burst Index 1.67 ± 0.42

CV ISI 0.89 ± 0.23

Statistical Tests

ANOVA F-statistic F = 18.73

Overall p-value p < 0.001

Effect Size (η²) 0.23 ± 0.14

Statistical Power 0.96

FDR Correction Benjamini-Hochberg

Quality Metrics

Signal-to-Noise 8.4 ± 2.1

Isolation Quality Excellent

Waveform Stability 95.3%

Contamination Rate 1.2%

Recording Duration 67.4 min

Snazzy Inari

Advanced Neural Analysis Dashboard Live Analysis

Population Neural Activity Dynamics

Regional Distribution

Comprehensive Neural Data Analysis

Real-Time Neural Activity Patterns

Neural Response Characteristics

Spike Raster Plot

PSTH Analysis

Real-Time Activity Feed

Processing Status

Analysis Parameters

Behavioral Data Analysis

Psychometric Curves

Prior Block Effects

Response Timing

Block Structure

Performance Metrics

Learning Dynamics

Learning Curves Over Sessions

Reaction Time Distributions

Population Dynamics Analysis

Population Trajectory Visualization

Explained Variance

Component Analysis

Trajectory Metrics

Cross-Regional Correlations

Clustering Analysis

Temporal Evolution of Components

Cross-Condition Distance Matrix

Single-Unit Neural Analysis

Featured Single Neuron Responses

Neuron #1247 (VISp)

Neuron #0847 (ACAd)

Neuron #1583 (MOp)

Neuron #2156 (CA1)

Population Summary Statistics

Encoding Properties

Temporal Dynamics

Statistical Tests

Quality Metrics

Advanced Brain-Wide Activity Mapping

Recording Configuration

Regional Activity Levels

Atlas Reference

Activity Heatmap

Network Connectivity Analysis

Functional Connectivity Network

Network Metrics

Global Properties

Hub Regions

Connectivity Matrix

Network Degree Distribution

Comprehensive Research Findings

Primary Research Findings

Strong Behavioral Prior Effects

Distributed Neural Encoding

Distinct Population Trajectories

Functional Network Organization

Mechanistic Insights and Implications

Neural Mechanisms

Predictive Coding Framework

Hierarchical Processing

Population Dynamics

Clinical Relevance

Psychiatric Disorders

Learning Disabilities

Therapeutic Targets

Future Research Directions

Computational Modeling

Causal Interventions

Cross-Species Studies

Technical Advances

Clinical Translation

Behavioral Extensions

Key Statistics Summary

Statistical Significance

Research Team

Publication Package

Advanced Neural Analysis Dashboard
Live Analysis