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																		 Connection
 
																		 Co-Authors
																		
																	 
																		This is a "connection" page, showing publications co-authored by   Abigail Person   and   Jesse Gilmer.    
																		
																	 
																			
																					
					
					
		
			
			
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					|  | Connection Strength |  |  
					|  |   |  |  
					|  | 2.681 |  |  |  |  
		
		
			
				Gilmer JI, Farries MA, Kilpatrick Z, Delis I, Cohen JD, Person AL. An emergent temporal basis set robustly supports cerebellar time-series learning. J Neurophysiol. 2023 01 01; 129(1):159-176.	
				
				
					Score: 0.816
				
				Gilmer JI, Person AL. Theoretically Sparse, Empirically Dense: New Views on Cerebellar Granule Cells. Trends Neurosci. 2018 12; 41(12):874-877.	
				
				
					Score: 0.619
				
				Gilmer JI, Person AL. Morphological Constraints on Cerebellar Granule Cell Combinatorial Diversity. J Neurosci. 2017 12 13; 37(50):12153-12166.	
				
				
					Score: 0.575
				
				Gilmer JI, Coltman SK, Cuenu G, Hutchinson JR, Huber D, Person AL, Al Borno M. A novel biomechanical model of the proximal mouse forelimb predicts muscle activity in optimal control simulations of reaching movements. J Neurophysiol. 2025 Apr 01; 133(4):1266-1278.	
				
				
					Score: 0.240
				
				Gilmer JI, Coltman SK, Cuenu G, Hutchinson JR, Huber D, Person AL, Al Borno M. A novel biomechanical model of the mouse forelimb predicts muscle activity in optimal control simulations of reaching movements. bioRxiv. 2024 Oct 26.	
				
				
					Score: 0.233
				
				Tabuchi S, Gilmer JI, Purba K, Person AL. Pathway-Specific Drive of Cerebellar Golgi Cells Reveals Integrative Rules of Cortical Inhibition. J Neurosci. 2019 02 13; 39(7):1169-1181.	
				
				
					Score: 0.156
				
				Doykos TK, Gilmer JI, Person AL, Felsen G. Monosynaptic inputs to specific cell types of the intermediate and deep layers of the superior colliculus. J Comp Neurol. 2020 09 01; 528(13):2254-2268.	
				
				
					Score: 0.042
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																					       Connection Strength       
  The connection strength for concepts is the sum of the scores for each matching publication.    
 Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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