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 # Synaptopus
 
-![Synaptopus mascot](artwork/synaptopus_mascot_multi_brains.png)
+![Synaptopus mascot](artwork/synaptopus_mascot_multi_brains_2.png)
 
 Many minds, one workbench.
 
@@ -30,7 +30,7 @@ The emphasis is on explicit interaction among heterogeneous models rather than a
 
 ## Initial Provenance
 
-The immediate historical provenance of this repository is a 1988-1989 master's thesis project by Wesley Royce Elsberry, implemented in Turbo Pascal, which combined Hopfield-style generation, backpropagation-based evaluation, and ART-style categorization in a hybrid musical composition system.
+The immediate historical provenance of this repository is a 1989 master's thesis project by Wesley Royce Elsberry, implemented in Turbo Pascal, which combined Hopfield-style generation, backpropagation-based evaluation, and ART-style categorization in a hybrid musical composition system.
 
 That work has already been reconstructed in Python elsewhere as a thesis-focused project. Synaptopus is the next abstraction layer: a more general repository for multi-architecture artificial neural systems, their interfaces, their orchestration, and their pedagogical presentation.
 
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 ## Provenance
 
-Synaptopus grows out of a much earlier line of work: a 1988-1989 master's thesis project at The University of Texas at Arlington by Wesley Royce Elsberry on hybrid artificial neural network modelling.
+Synaptopus grows out of a much earlier line of work: a 1989 master's thesis project at The University of Texas at Arlington by Wesley Royce Elsberry on hybrid artificial neural network modelling.
 
 That original system combined multiple architecture families in a single loop: