NEURONARRATIVE

This column will change your life: the art of forgetting

From «The Guardian»

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The good news, as reported in Scientific American Mind, is that you can. Attempting not to think about something can notoriously have the opposite effect – the «don’t think of a white bear!» problem – but research showssuppression gets better with practice and substituting a thought with another thought can work well, too. Intriguingly, those who are best at deliberate forgetting are those who are also best at remembering things. (People with ADHD are worse at it.) A sharp and healthy mind is one that can remember and forget. Distracting yourself is another technique that gets a bad rap but that can be similarly effective: in one study, having to press a button each time a word-cue appeared led to as much forgetting as deliberately trying to block it. «Action interferes with recollection,» as one researcher put it. Want to forget your screw-up at work today? Cook a complex dinner tonight.

As a society, argues internet scholar Viktor Mayer-Schonberger, we’re getting worse at forgetting, thanks to the web: Amazon, Google and Facebook remember everything you use them for, for ever. In his book Delete, he calls for legal efforts to change the default, so that unless you choose otherwise, your online activities will eventually slip into the memory hole. It’ll never happen. But it’s a welcome intervention in the polarised debate between advocates of privacy and publicness. Perhaps «living in public» in the digital era would be less unsettling if we could trust that the web – like an optimally functioning human mind, rather than one with a disorder such as Price’s – might eventually also forget.

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http://www.theguardian.com/lifeandstyle/2012/jan/20/change-life-art-of-forgetting

ARTIFIAL NEURAL NETWORK, A MULTILAYER SYSTEM

Artificial Neural Network

Neural networks have been used with computers since the 1950s. Through the years, many different models have been presented. The perceptron is one of the earliest neural networks. It was an attempt to understand human memory, learning and cognitive processes. To construct a computer capable of «human-like thought», the researchers have used the only working model they have available – the human brain. However, the human brain as a whole is far too complex to model. Rather, the individual cells that make up the human brain are studied. Following is introduced the schema of the most used artificial neural network.

Multilayer Perceptron

For the task of predicting the indexes, we’ll be using the so called multilayer feed forward network which is the best choice for this type of application. In a feed forward neural network, neurons are only connected forward. Each layer of the neural network contains connections to the next layer, but there are no connections back. Typically, the network consists of a set of sensory units (source nodes) that constitute the input layer, one or more hidden layers of computation nodes, and an output layer of computation nodes. In its common use, most neural networks will have one hidden layer, and it’s very rare for a neural network to have more than two hidden layers. The input signal propagates through the network in a forward direction, on a layer by layer basis. These neural networks are commonly referred as multilayer perceptrons (MLPs). Shown below is a simple MLP with 4 inputs, 1 output, and 1 hidden layer.

http://www.codeproject.com/Articles/175777/Financial-predictor-via-neural-network

EXPERIMENT TWO – DIGITAL MEMORY AND STORYTELLING

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Nowdays we have devices of «digital memory» (Clipnarrative, Mecam…etc) that offer us the possibility of storage our daily live for an affordable price and little effort.

I´m really interesting in all the questions that this fact open about a possible future where we can rewind our memory everytime we need and the consequences of  this permanent digital memory. We know that the act of remembering is as important as the act of forgetting (We need both in order to have a healthy mind). But beyond this questions I want to use this devices in order to experiment with multiperspective narrative, memory narrative and digital visualization of forgetting.

I´ve been thinking about create the following exercise (this is an idea in development).

1. Four people are asked to use for one day this tiny camera.

2. These four people have to be a group (friends, family etc) who are going to be part or attend to the same event that day.

3. The event should be a meaningful event for that group. Of course the most interesting the event and the group of people are the more interesting will be the exercise. So this is a very important point, but I need time to think and research about it. 

4. Days after the event they will be asked about what they remember about that day (They will be asked to try to remember everything hour per hour).Their memories will be recorded.

5. The memories of each person will be check with the image they recorded.

6. The image will be distort through a process called «Databending» creating an effect called «Wordpad Effect». This software disrupt, intentionally, the information contained within a file. The level of distorsion in the image will be directly proportional to the level of forgetting in their memories. So if certain moment is remebered by the person very well the image will be very clear without «Wordpad effect». In the case a moment is forgotten the image will be highly distorsionated by this effect.

7. I will try to recreate that day an their experience mixing togueter all their memories within an Spatial Montage, where we can see and hear different interpretations of the same day and verify their memories. I think I can create an interesting exercise with all these elements but I have to think more about it. So…

To be continued…

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SPATIAL MONTAGE WITHIN MY RESEARCH

Lev Manovich defined the term “spatial montage” for a type of montage that modifies the traditional form of perceiving time in narration and that opposes the idea of succession and sequence. It’s a montage whereby there is no continuity among associated images. It’s therefore no longer one image after the other, but one image plus another. The spatial organization does not seek to prioritize or to offer a fixed path. It’s not so much the images that are of interest, but the relations that can be found between the links and connections of the images.
This “between” implies being aware of what is not in the image, that which remains outside. A “between” that Gilles Delluze singled out as the starting point from which modern cinema developed new relations with thought:

       “[…] the deleting of an everything or a total of images in the benefit of an “outside”  that can insert itself between them”.

Spatial montage thus seeks to become more an image of thought that a reflection of reality. The intention is not to retell a story but to present an image in which we can get lost, that we can construct, de-construct, and find different senses or non-senses.

Although there is a broad range of artists and works that have tried to reflect the concepts and forms hereby described, my intention is to develop this narrative concept through an interactive montage that uses programming and new technologies. This structure, with hypertext features, gives us access to different connections among the three stories.

The development of the spatial montage will imply working together with a programmer and will be one of the fundamental pillars of the research project for the Master.