Ah, neurobiology, my old foe. It’s time to take your place in the midst of my mindmap (or on the outskirts?), but where should you go? Hell, what should I add? How do I place science within a brainstorming network of other (less science-y) theories of network? Well, that’s always a good question. Neurobiology is the perfect network, with everything (ideally) functioning as a highway system of information, constantly moving between the neurons. The two theories that make the most sense for a direct connection are Hardware/Software Theory and Ecology Theory (with Bateson, in mind, as the top contender). The trouble I had choosing the nodes and making the connections was how specific neurobiology is and how technical the jargon remains.
Now that I have my overarching connections between theories, let’s start with my new nodes.
First node deals with learning and memory: “So how could this intricate electrical mechanism act to form new memories? LTP [Long-Term Potentiation], like learning, is not just dependent on increased stimulation from one particular neuron, but on a repeated stimulus from several sources. It is thought that when a particular stimulus is repeatedly presented, so is a particular circuit of neurons. With repetition, the activation of that circuit results in learning. Recall that the brain is intricately complicated. Rather than a one-to-one line of stimulating neurons, it involves a very complex web of interacting neurons. But it is the molecular changes occurring between these neurons that appear to have global effects. LTP can lead to strengthened synapses in a variety of ways. One such way, as discussed in the video, is by the phosphorylation of glutamate receptor channels, which is accomplished by a calcium-triggered signaling cascade. This results in those channels passing more ions with subsequent stimulation, strengthening the signal to and from the neuron.” The inclusion of a quote on memory made the most sense to me. Memories are the very fabric of information coming and going. It seems like for every memory that is created, another one is replaced (or, it seems, five in my case). The idea of repetition of stimulus reminds me a lot of what I imagine occurs within the cloud network that connects all of our lives, and how the transfer of data would play out in the Ecology of the Mind.
The second node I chose was about memory and the Hippocampus: “It is widely agreed that while the hippocampus is undeniably important for memory, the “recording” of information into long-term memory involves plasticity, or physical changes, in multiple regions throughout the entire nervous system. Another interesting distinction that scientists have made in types of memory is between declarative memory, which allows you to remember facts and is extremely complex, and reflexive memory, which usually consists of learning by repetition and often involves motor learning. While declarative memory can be reported, reflexive memory is exhibited by performance of a task and cannot be expressed verbally. It is now thought that the two types of memory may involve two entirely different neuronal circuits.” I connected this node and the one above to Hardware/Software theory because a lot of how the writers describe processes in the brain sounds a great like how computer techies describe processes in computers. The hippocampus reminds me of a CPU and how it stores all of the information, sending out data to be represented as pixelated images on the monitor and being accessed by people through movements with the mouse (or screen if it’s touch sensitive). However, I also chose this quote for another reason. The writers describe “entirely different neuronal circuits,” which sounds similar to what I have been reading about for this week’s reading notes in Manuel Castells’ book The Rise of the Network Society. Next Sunday, my plan is to create a node regarding how there are different layers of networks within the Network Society to connect to this quote about the hippocampus. When I think of the brain, I think of one mechanism moving everything through, so the idea of different neuronal circuits operating in conjunction gives me a different picture of how my mental process works.
The last of my nodes was an image of a Synapse. I connected with a quote from Syverson: “In a complex system, a network of independent agents–people, atoms, neurons, or molecules, for instance–act and interact in parallel with each other, simultaneously reacting to and co-constructing their own environment” (3). The reason I chose this quote in particular is because it helped me to imagine what she talking about. Here, each piece has a part to play to keep the system functioning. The neurons, pre- and post-, within the synapses, working to create memories, crafting the mental environment. The images and videos gave me an idea of how stuff moves between networks more concretely than the idea of just information, though I’m amazed at the idea of electricity in the brain helping to move stuff along.
Memory, Neurons, and Music Mix on a Fine Sunday Afternoon