Excited to share (and participate in) the 2nd #CedarsSinai & #Caltech Joint Symposium on Computational & Experimental Neuroscience! 🧠

Agenda includes talks on #CircuitNeuroscience #BMI #ComputationalNeuroscience #BrainInjury #Repair across institutions; registration code below

(7/8)
And when PCs were included in the decoder?
No difference in BMI task performance- suggesting flexibility and integration of PCs in cerebellar BMI control.
#BrainPlasticity #BMIResearch

(6/8)
For #Cerebellum aficionados: yes, we looked at #PurkinjeCells (PCs).
Indirect PCs showed learning-related modulation, and interaction timescales with decoder units and M1 matched other cerebellar units.
#Electrophysiology #Neurocircuits

(5/8)
We then asked: what predicts cerebellar BMI activity?
Turns out, local cerebellar and motor cortical indirect activity predicted direct decoder activity across time lags- altered post-stroke, hinting at network-level compensation.
#NeuralDynamics #SystemsNeuroscience

(4/8)
Cerebellar “direct” decoder units showed strong task-related modulation.
With learning, indirect cerebellar units also became task-modulated- pointing to distributed #plasticity across the circuit.
#MotorLearning #NeuralPlasticity

(3/8)
Crucially, cerebellar BMI control remained feasible even when upper-limb impairments persisted post-#stroke - highlighting its translational potential for #neurorehab and #neuroprosthetics. 💡
#StrokeRecovery #BrainComputerInterface

(2/8)
We first compared cerebellar #BMI control with #MotorCortex (M1)-driven BMI.
Performance was on par.
And, BMI control from the cerebellum was equally effective in healthy vs. stroke brains.
#BCI #Neuroprosthetics