Novel computing platform models brain cell changes in autism

This technology introduces an advanced neural network model and specialized hardware architecture designed to analyze and identify synaptic dysfunctions related to Autism Spectrum Disorders and similar complex neurological conditions.

Background:

Neurological disorders like Autism Spectrum Disorders (ASD) involve complex synaptic dysfunctions that are challenging to analyze due to the lack of specialized computational tools. Existing methods fall short in modeling the intricate behavior of glutamatergic neuron synapses, which play a critical role in these conditions. This gap hinders the understanding of disease progression and limits the development of effective therapeutics. Recognizing this problem, researchers developed a novel software and hardware solution to provide real-time, biologically relevant synaptic analysis.

Technology overview:

The invention comprises two main components: the ASD interrogator (ASDint), a computational neural network model, and the Synaptic Neuronal Circuit (SyNC), a hardware architecture implemented as an ASIC. ASDint is engineered to specifically analyze mechanisms impacting glutamatergic neuron synapses, focusing on synaptopathies associated with ASD. By expanding traditional spiking neural network models, it incorporates the analysis of retrograde messengers, which adds an important layer of biological accuracy to the interpretation of synaptic activity. SyNC functions as a biologically relevant neuron synapse simulation running in real-time, leveraging a novel GPU accelerator or specialized ASIC hardware to deliver efficient computation. This combination of software and hardware supports enhanced simulation fidelity and speed, enabling a highly automated and compatible framework for neurological research. The novel architecture and algorithms address the existing inadequacies in software solutions by providing a fully integrated platform tailored for analyzing synaptic dysfunctions, ultimately aiding in disease progression assessment and therapeutic strategy development.

Advantages:

• Specialized neural network model designed specifically for glutamatergic synapse analysis in ASD and related disorders.
• Real-time biological relevance through the SyNC hardware architecture implemented as an efficient ASIC design.
• Integration of retrograde messenger analysis within spiking neural networks, providing greater simulation accuracy.
• Enhanced computational efficiency via GPU accelerator or ASIC hardware, enabling rapid processing.
• Fully novel software platform with no prior competing components, offering a unique and comprehensive solution.
• Facilitates automated, compatible analysis useful for both research and therapeutic development.

Applications:

• Research on synaptic dysfunction mechanisms in Autism Spectrum Disorders and other complex neurological conditions.
• Development and testing of therapeutic interventions targeting synaptopathies.
• Real-time simulation and assessment of neuron synapse activity for biomedical studies.
• Hardware-accelerated platforms for computational neuroscience and neuromorphic engineering.
• Supports interdisciplinary collaborations among academic, medical, and technological institutions focused on neurological health.

Intellectual Property Summary: Patent Pending 18/569,431

Stage of development: TRL 4

Licensing status: This technology is available for licensing.