Katrin Franke

A large-scale dataset of functional mouse ganglion cell layer responses

The paper introduces a large-scale dataset of functional responses from mouse ganglion cells, enabling population-level analyses and computational modeling of retinal computation.

Visual uncertainty and task demands shape active sensing strategies in mice

This study shows mice use active sensing strategies to resolve visual uncertainty in a virtual reality task, selecting informative views based on visual information availability.

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina

Eyewire II provides a large-scale EM dataset of the mouse retina, enabling cell type annotation and connectivity mapping through human-in-the-loop deep learning and functional alignment.

The functional organization of retinal input to the mouse superior colliculus

The paper maps retinal ganglion cell functional diversity in the mouse superior colliculus and identifies specialized response types for collision detection.

Dual-feature selectivity enables bidirectional coding in visual cortical neurons

The paper identifies a dual-feature encoding strategy in visual cortical neurons where neurons respond to both enhancing and suppressing visual features, showing this strategy is conserved across species.

GABAergic amacrine cells balance biased chromatic information in the mouse retina

The paper identifies 25 functional GABAergic amacrine cell types in the mouse retina that balance chromatic information by reducing chromatic tuning and increasing receptive field diversity.

Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky

This study shows that mouse V1 has an asymmetric distribution of color-opponent neurons, particularly in areas encoding the sky, which may enhance detection of dark UV-objects in daylight.

A chromatic feature detector in the retina signals visual context changes

The paper identifies a retinal ganglion cell type that detects visual context changes by responding selectively to chromatic contrast transitions.

Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization

The paper uses deep learning to analyze single-cell neural responses in primate visual area V4, finding functional clustering that mirrors artificial vision systems.

Foundation model of neural activity predicts response to new stimulus types and anatomy

This paper trains a foundation model on neural activity data to predict responses to new stimuli and anatomical features, showing strong generalization across mice and tasks.

Bipartite invariance in mouse primary visual cortex

The paper identifies a novel bipartite invariance in mouse V1 neurons, where receptive fields encode shift-invariant high-frequency textures and fixed low-frequency patterns, contributing to segmentation.

Pattern completion and disruption characterize contextual modulation in the visual cortex

The paper uses CNNs to analyze contextual modulation in visual cortex by synthesizing surround patterns, finding that pattern completion enhances responses while disruption suppresses them, consistent across mice and macaques.

Energy Guided Diffusion for Generating Neurally Exciting Images

This paper introduces Energy Guided Diffusion (EGG) to generate neurally exciting images, outperforming gradient ascent in generalization and efficiency for macaque V4 models.

Suppression without inhibition: How retinal computation contributes to saccadic suppression

The paper identifies three retinal mechanisms underlying saccadic suppression in mice, pigs, and macaques using electrophysiology and modeling, showing suppression arises from temporal filtering and nonlinearities rather than inhibition.

Retinal horizontal cells use different synaptic sites for global feedforward and local feedback signaling

The paper identifies two distinct synaptic sites on horizontal cells in the mouse retina that mediate local feedback to cones and global feedforward signaling to bipolar cells.

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

This paper develops a domain adaptation framework to remove inter-experimental variability in systems neuroscience data while preserving biological signals, showing improved performance over existing methods.

Behavioral state tunes mouse vision to ethological features through pupil dilation

The paper shows that pupil dilation in mice shifts color selectivity in the visual cortex towards ultraviolet stimuli, enhancing detection of ethological features like aerial predators.

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

The paper investigates motion sensing in mouse retinal bipolar cells, finding that some possess motion-sensitive receptive fields and transmit direction-specific signals to downstream neurons.

Mouse retinal specializations reflect knowledge of natural environment statistics

The paper uses a UV-green camera to study mouse visual environments and finds that natural scene statistics shape color discrimination and retinal processing in the upper visual field.

Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

This paper uses Bayesian inference to estimate parameters of retinal neuron models from imaging data and optimizes stimulus waveforms for retinal neuroprosthetics.

Neural circuits in the mouse retina support color vision in the upper visual field

The paper investigates neural circuits in the mouse retina and finds that color-opponent cells are predominantly located in the ventral retina, supporting color vision in the upper visual field.

System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina

The paper develops a biophysically constrained computational model of inner retinal circuits that performs well on new stimuli and matches connectomics data.

Type-specific dendritic integration in mouse retinal ganglion cells

This study shows how four types of mouse retinal ganglion cells use different dendritic integration rules, influenced by both morphology and ion channel distribution.

The temporal structure of the inner retina at a single glance

The paper develops a method to image the entire inner plexiform layer of the retina at once, revealing response speed gradients in bipolar cells and isolating experimental batch effects.

An arbitrary-spectrum spatial visual stimulator for vision research

This paper introduces a flexible spatial visual stimulator with arbitrary spectrum control for use in vision research, demonstrating its application in mouse and zebrafish models.

Bayesian Hypothesis Testing And Experimental Design For Two-Photon Imaging Data

The paper develops a Bayesian statistical pipeline for analyzing two-photon imaging data using Gaussian Process Regression to infer neural activity and guide experimental design.

Balanced excitation and inhibition decorrelates visual feature representation in the mammalian inner retina

The paper shows that balanced excitatory and inhibitory inputs in bipolar cells decorrelate visual feature representation in the mammalian inner retina.