Communication between electronic systems and the brain, involving both invasive and non-invasive interfaces, will be a reality in the future. Brain-computer interfaces can already interact with small numbers of neurons in concentrated areas using electrical probes. However, most signal transmission in the synapses of the brain is chemical, and it is purely electrical interfaces may never provide the correct functionality and precision. Incorporating chemical and biological sensor devices as the interface between the environment and artificial neural networks is possible with low-temperature devices. Similar learning mechanisms to the biological tissue could be implemented, allowing the artificial layers to replace or augment abilities lost due to disease or traumatic brain injury (TBI). In addition to use as a neuroprosthetic that replaces lost functionality, this system could sense depression or other changes in mood, or provide specific information about the operation of the brain. In other words, this interface could essentially provide real-time brain diagnostics, to help determine if sections are malfunctioning or becoming unstable.