The breakthrough: don't suppress chaos, navigate it. Learn to work WITH your network's rich, high-dimensional internal dynamics instead of forcing them into rigid order.

It's the difference between damming a river and learning to read its currents.

#CognitiveScience #ComputationalNeuroscience

🌟 Highlight from the DGN Congress in Berlin – November 14 🌟

Earlier this month at the DGN Congress in Berlin, EBRAINS Chief Science Officer Prof. Viktor Jirsa delivered an inspiring presentation on one of the most cutting-edge developments in computational neuroscience:

🧠 Simulation of the spread of hyperexcitability in brain networks in epilepsy using digital twins of the brain

#Neuroscience #Epilepsy #DigitalTwin #BrainModeling #DGN2025 #ComputationalNeuroscience #ResearchInnovation

MohammadFazel Abdhaghighi, a student and research assistant from Iran, discovered new ways of thinking and exploring science through Neuromatch Academy’s Computational Neuroscience course.

➡️ Read his story here: https://www.linkedin.com/feed/update/urn:li:activity:7399202404241567744

#Neuromatch #MyNeuromatchStory #ImpactStory #ComputationalNeuroscience #Neuroscience #NeuromatchAcademy

Postdoc fellowship opportunity for ECRs (<3 yrs post-PhD). Note that if you want to apply to work with me as your mentor, our dept has an internal deadline of Dec 4th so please email me asap. Our internal process is shorter than the full application.

https://royalcommission1851.org/fellowships/research-fellowships

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

What an incredible week at #SfN2025!

Thank you to everyone who stopped by the Neuromatch booth, joined our sessions, and came to our social event. It was great to connect with our amazing community of students, alumni, TAs, and volunteers! It’s been such a pleasure meeting you all in person!

➡️ If you didn’t get a chance to visit us, you can still join our mailing list & leave us a note here: https://airtable.com/appWO8lu7xm3VSdVj/pagKeB66DV7WtyhMP/form

#Neuromatch #Neuroscience #ComputationalNeuroscience #NeuroscienceCommunity

Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch.

https://www.youtube.com/playlist?list=PL09WqqDbQWHEyTZPLMKEi9-RD6kax0tCR

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

SNUFA 2025 Workshop

YouTube

I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)

In this review, we highlight several important insights:

- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.

- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.

- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.

- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.

- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.

I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.

Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.

If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.

#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience

It’s always special when online connections become in-person moments. At #SfN2025 we got to meet Shonali Dhingra, a past Neuromatch Academy mentor - you might recognize her from one of our postcards!

https://www.linkedin.com/posts/neuromatch_sfn2025-sfn-sfn2025-activity-7396770568613715968-65Ze?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAORGZYBlgE8yO-YSwY74ZfmxxPmPxAVQJ8

#SfN #Neuromatch #Mentorship #ComputationalNeuroscience

We loved seeing so many of you at our #sfn2025 booth and at our community social gathering. It’s such a treat connecting with you all in person!

Come by booth 3704 to chat about:
🌟 #ComputationalNeuroscience courses
🌟 Opportunities to be a TA or mentor
🌟 If you are a former student, TA, or mentor

Neuromatch is at #SfN2025 🎉

Come by booth 3704 to learn about:
🌟 Our virtual, paid TA opportunities
🌟 Online courses in #ComputationalNeuroscience, #DeepLearning, and #NeuroAI
🌟 Mentoring opportunities
🌟 Our Impact Scholar Program