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The Church-Turing Thesis, abbreviated here as CT , applies recursive functions to common computing problems. CT also applies to computers which execute instructions in parallel , performing many computations concurrently. Since we're following CT into the human body, it will be expedient to restrict pursuit of CT applications to neural nets alone. In 1995 Hava Siegelmann and Eduardo Sontag proved a more powerful conjecture, showing that all Turing machines can be simulated by neural nets of finite size. Like those early neural nets, spiking neural nets can also simulate all Turing machines effectively.