Output Catalog
ASAP is committed to accelerating the pace of discovery and informing a path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing. We’ve created this catalog to showcase the research outputs and tools developed by ASAP-funded programs.
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Output Type
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Program
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CRN Team Name
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Theme
Gavage – food supplementation for stalled weight gain in mice
Feeding protocol for Ndufs2fl/fl mice,
Feed-forward metabotropic signaling by Cav1 Ca2+ channels supports pacemaking in pedunculopontine cholinergic neurons
Cholinergic neurons (CNs) in the pedunculopontine nucleus (PPN) are lost in the course of Parkinson’s disease. PPN CNs have a distinctive physiological phenotype that shares only some of the features of other selectively vulnerable neurons in PD.
Motor learning selectively strengthens cortical and striatal synapses of motor engram neurons
In this study, Hwang, Roth, et al. find that motor learning recruits a population of engram neurons in the motor cortex that are reactivated during task performance. Motor learning leads to selective remodeling of dendritic spines and strengthening…
State-dependent GABAergic regulation of striatal spiny projection neuron excitability
Synaptic transmission mediated by GABAA receptors (GABAARs) in adult, principal striatal spiny projection neurons (SPNs) can suppress ongoing spiking, but its effect on synaptic integration at sub-threshold membrane potentials is less well…
Sleep-Wake Recording in the Turek Laboratory
Surgery and recording protocol for measuring sleep-wake behavior in mice for Turek Laboratory.
Dan Lab sleep datasets for MCI-Park mice 24-hour recordings
Sleep-wake dataset for MCI-Park mice and wildtype controls from Dan Lab.
Disrupted sleep-wake regulation in the MCI-Park mouse model of Parkinson’s Disease
Disrupted sleep has a profound adverse impact on lives of Parkinson’s Disease (PD) patients and their caregivers. Sleep disturbances are exceedingly common in PD, with substantial heterogeneity in type, timing, and severity. Among the most…
Sleep-Wake Recording in Dan lab
Surgery and Setups for Recording 24-Hour Natural Sleep/Wake Cycles in Mice.
Preparation of tissue for Ribo-Tag/RNAseq analysis
This protocols describes the RiboTag virus vectors injected into mouse brain, tissue dissection, immunoprecipitation and RNA extraction for RNAseq.
State-dependent GABAergic regulation of striatal spiny projection neuron excitability: NEURON + Python model of striatal projection neurons
This repository contains a NEURON + Python model of striatal projection neurons (or SPNs) designed to simulate the interaction between GABAergic and glutamatergic synaptic inputs.
Rethinking the network determinants of motor disability in Parkinson’s disease
For roughly the last 30 years, the notion that striatal dopamine (DA) depletion was the critical determinant of network pathophysiology underlying the motor symptoms of Parkinson’s disease (PD) has dominated the field. While the basal ganglia…
RectiPy software package
Recurrent neural network training in Python (RectiPy) is a software package developed by Richard Gast that allows for lightweight implementations of recurrent neural networks (RNNs) based on ordinary or delayed differential equations. The main…
Neural heterogeneity controls computations in spiking neural networks
Significance Neurons are the basic information-encoding units in the brain. In contrast to information-encoding units in a computer, neurons are heterogeneous, i.e., they differ substantially in their electrophysiological properties. How does the…
PyRates—A code-generation tool for modeling dynamical systems in biology and beyond
We present PyRates, a code-generation tool for dynamical systems modeling applied to biological systems. Together with its extensions PyCoBi and RectiPy, PyRates provides a framework for modeling and analyzing complex biological systems via methods…
Macroscopic dynamics of neural networks with heterogeneous spiking thresholds
Mean-field theory links the physiological properties of individual neurons to the emergent dynamics of neural population activity. These models provide an essential tool for studying brain function at different scales; however, for their application…
