Behavior analysis and neuroscience: Complementary disciplines

Donahoe (2017) wrote a theory paper. He asked: can brain science and ABA speak the same language?

He mapped three ABA ideas—reinforcement, stimulus control, and memory—onto brain-friendly terms. The shared glue is selectionism: useful things get kept, useless things drop out.

The paper finds the two fields are not rivals. They describe the same selection process at different levels.

Reinforcement is neural selection. Stimulus control is neural filtering. Memory is neural preservation of past selections.

Ringen (1993) and Koegel et al. (1992) said reinforcement works like evolution long before Donahoe. Donahoe keeps their story and adds brain data.

Ortu et al. (2019) took the next step. They built a math model that treats recognition memory as operant selection on nerve-cell strength. This turns Donahoe’s metaphor into a testable rule.

Stahlman et al. (2024) push the timeline further back. They argue that even unlearned reflexes are products of evolutionary selection. Together the papers form one ladder: evolution → learning → moment-to-moment brain change.

You can talk with doctors, teachers, and parents without dropping your ABA terms. Say “selection” and everyone gets the picture: what works stays, what fails fades. Next time you write a program plan, add a line that links the behavior goal to a brain-level filter. It builds buy-in and keeps your language precise.